WISE - Deep Research - Valuation

Wise plc is a scaled cross-border payments network with a structurally cost-advantaged “local rails” architecture and a product suite that is increasingly account-led (card + multi-currency balances + Assets), not just transfer-led. [1]. FY2025 delivered £145.2bn cross-border volume, £1,211.9m revenue, £564.8m reported PBT and £416.7m profit, with “income” (revenue + net interest on customer balances) of £1,645.0m. [2]. A large fraction of FY2024–FY2025 profits came from customer-balance interest (net of benefits), which Wise itself treats as partly cyclical; management therefore steers to an “underlying” framework that only counts the first 1% yield on customer balance interest and targets a 13–16% underlying PBT margin. [3] HY FY2026 shows the strategic trade-off clearly: cross-border volume +24% YoY while cross-border take rate fell 10 bps to 0.52%, and underlying PBT margin reset toward the target range as investment increased. [4]

Base-case (10-year FCFF DCF, GBP) yields ~661p/share, Bull ~951p/share, Bear ~347p/share, versus 860.5p last close (27 Feb 2026). [5] Under probability-weighting (55% / 25% / 20%), expected value is ~670p/share, implying the market discounts a more persistent “Bull-like” growth/margin path and/or lower discount rate than in Base. (Model output; probabilities are analyst assumptions.)

Key debate: can Wise (i) sustain 15–20% underlying income growth for longer while (ii) continuing price cuts (take-rate compression) and (iii) absorbing heavier compliance requirements (incl. a potential US primary listing programme) without eroding long-run unit economics. [6]

Geopolitical and sanctions risk is not theoretical: UK sanctions authorities published a disclosure relating to a Wise-reported suspected Russia-sanctions breach (small monetary value, but instructive control gap). [7]

Investment stance: at the current price, the equity looks priced for execution close to Bull; the business quality is high, but the valuation embeds limited room for regulatory/competitive disappointment. (Conclusion derived from model outputs.)

Business model and competitive positioning

Product architecture from first principles

Wise monetises three interacting “loops” that share the same payments infrastructure:

Loop A: Cross-border transfer (the historical core)
Customer sends money in currency A → Wise receives local funds → Wise uses local liquidity/settlement accounts and domestic rails → recipient receives currency B. Revenue is primarily a fee proportional to the transferred amount, i.e., a take rate on cross-border volume. [8]

Loop B: Account-led engagement (multi-currency account + card + balances/Assets)
Customer holds balances (multi-currency) and spends with a debit card → Wise earns card-related revenue (interchange and related fees) and increases customer “stickiness” via higher holdings. Customer balances also create interest income potential (partly shared back to customers via benefits). [9]

Loop C: Platform/partners (“Wise Platform”)
Banks/large partners embed Wise rails via APIs → Wise gains volume with less direct customer acquisition spend and broadens distribution. In HY FY2026, Wise reports Platform at ~5% of cross-border volume and expects ~10% in the medium term. [10]

A compact “diagram narrative” tying the loops together:

Infrastructure (local accounts + domestic rails + compliance)
→ lower unit costs & faster delivery
→ price reductions (take-rate compression)
→ customer growth & higher volume
→ higher gross profit capacity
→ reinvestment into infra/marketing/products
→ repeat (positive feedback loop). [11]

Unit economics: volume → take rate → income → cash

For FY2025 (units: £m unless noted):
Cross-border volume was £145.2bn; revenue was £1,211.9m; total “income” (including customer-balance interest net of benefits) was £1,645.0m. [12]

A useful decomposition is:

Cross-border revenue: reported at £840.4m in FY2025 (out of total revenue £1,211.9m). [13]
Implied FY2025 cross-border take rate (annual average) ≈ 840.4 / 145.2 = 0.579% (57.9 bps). (Derived metric; inputs from cited sources.) [14]
Cost of sales + net credit losses on the underlying framework were £337.2m (328.1 + 9.1), implying an underlying gross profit margin of ~75% on underlying income. [15]
Management-reported free cash flow (their APM, pre-tax and excluding certain items) was £615.4m in FY2025; importantly, this is not directly comparable to FCFF because it excludes cash taxes and includes some working-capital effects that management expects to normalise. [16]

The core scientific point: Wise is not a “thin-margin payments processor” on an economic basis; it has a high gross-profit engine, and it chooses to recycle efficiency gains into price cuts (take-rate compression) plus reinvestment, rather than maximising near-term accounting margin. [17]

Competitive positioning and moat mechanics

This section is about mechanisms, not labels:

Banks: legacy banks often rely on correspondent banking chains and wide FX spreads; Wise emphasises transparent pricing and a lower average take rate through engineered unit-cost reductions. [18]

PayPal[19]: PayPal’s transfers are integrated into a broader wallet/merchant ecosystem; Wise competes by focusing on “mid-market” FX execution and multi-currency account utility (hold/spend/receive), not only remittance UX. (Competitive comparison is analytical; Wise focus evidenced by product disclosures.) [20]

Remitly[21]: Remitly is more remittance-centric; Wise’s differentiation is breadth of account functionality and platform distribution, which can shift it from transactional to relationship economics. [22]

Revolut[23]: Revolut competes aggressively in multi-product consumer fintech; Wise’s moat claim is narrower but deeper in cross-border rails efficiency, plus trust/compliance and price leadership at scale. (Analytical statement; scale/price strategy is evidenced by take-rate declines and investment commentary.) [24]

Network effects here are mainly cost network effects (scale lowers unit costs on rails, enabling further price reduction) rather than the classic two-sided marketplace effect. The strategic risk is that cost advantage is competed away (pricing race) faster than account adoption can increase non-cross-border monetisation. [25]

Historical financial reconstruction and accounting nuances

Clean five-year (plus one) reconstruction

The company’s reporting uses several APMs. Below I present (i) IFRS revenue and PBT, plus (ii) management “income” and free cash flow APMs when reported. All numbers are from company reports; “income” is defined differently across years as Wise broadened balance interest and customer benefits. [26]

Key income statement / cash APM history (FY2020–FY2025):

FY (year ended 31 March)	Revenue (£m)	“Income” APM (£m)	Profit before tax (£m)	Profit for year (£m)	Free cash flow APM (£m)	Corporate cash at year-end (£m)
FY2020	303	n/a	20.4	n/a	n/a	n/a
FY2021	421.0	n/a	41.1	30.9	103.9	286.1
FY2022	559.9	557.1	43.9	32.9	113.3	357.8
FY2023	846.1	964.2	146.5	114.0	213.3	671.1
FY2024	1,052.0	1,412.3	481.4	354.6	486.6	1,061.1
FY2025	1,211.9	1,645.0	564.8	416.7	615.4	1,430.2

Sources: FY2025 results and FCF bridge. [27]
Sources: FY2023 selected financials and FCF reconciliation. [28]
Sources: FY2022 results and FCF. [29]
Sources: FY2021 annual report highlights and financial statements. [30]

Interpretation (what actually happened economically): FY2024–FY2025 profitability and FCF accelerated due to (a) scale and account adoption and (b) a higher interest-rate environment on customer balances, partially offset by higher benefits paid back to customers. [31]

Balance sheet reality check: customer funds vs corporate cash

The consolidated balance sheet is dominated by customer-related cash and liabilities that largely net economically but not in IFRS presentation. In FY2025, total cash and cash equivalents were £13,982.8m, of which £1,430.2m is identified as corporate cash (non-customer). [32]

On the liabilities side, “Wise accounts” (customer balances + transfers in flight) were £17,056.4m at FY2025 year-end. [33]

This is a key modelling point: do not interpret reported operating cash flows (multi-billion) as corporate cash generation, because they are driven by customer balance movements and safeguarding flows. Wise therefore discloses “corporate cash” as a managerial liquidity KPI. [34]

Financial model audit: accounting nuances that matter for valuation

Customer funds and safeguarding: Wise holds customer funds in safeguarded structures (segregated accounts and high-quality liquid assets); FY2025 disclosures reference customer funds held in segregated accounts and mention a UK “hybrid approach” using safeguarding via comparable guarantees (total value £520m). [32]

Gross vs net presentation of customer balances: Wise recognises customer funds as financial assets and corresponding liabilities (not as net), reflecting judgement about control and offsetting under IFRS/IAS 32. [35]

Interest-rate sensitivity is material: Wise discloses that a 1% instantaneous downward shock to interest curves would reduce annual interest income by £141.4m and would reduce net interest income (after benefits) by £86.1m, based on FY2025 average financial assets and benefit levels. [36]

Free cash flow APM versus FCFF: Wise’s FCF APM is anchored to profit before tax and adjusts for working-capital and reinvestment, but it is not the same as after-tax FCFF and includes year-specific working-capital effects (e.g., FY2025 receivables timing that management expects to normalise). [16]

Capitalised development: Wise capitalises only directly attributable development costs; maintenance and other development expenditures are expensed. This supports a model where “reinvestment” is largely in opex (people/marketing), not capex. [37]

Dual-class share structure: the company reports Class A and Class B shares; Class A are the listed economic shares, while disclosures indicate Class B shares carry voting rights but limited dividend/distribution rights. This matters for per-share valuation and dilution analysis. [38]

Audit anchoring: the FY2025 annual report contains an unqualified audit opinion with disclosed audit materiality and scope (including use of overseas audit teams for laws and regulations work), supporting reliance on FY2025 audited numbers. [39]

KPI engine and forecast framework

KPI definitions used in this model

I use KPIs that are (i) disclosed by Wise and (ii) map to the P&L:

Active customers (m): customers who used Wise in the relevant period (Wise reports it for FY and for HY/quarterly periods). [8]
Cross-border volume (£bn): total value moved across borders. [8]
Cross-border take rate (bps): revenue yield on volume; management reports quarterly/period take rate and highlights deliberate reductions. [40]
Customer balances/holdings (£bn): balances held in Wise accounts; holdings include balances plus Assets under custody where available. [8]
Card and other revenue (£m): a proxy for account-led monetisation progress. [41]

Mapping from KPIs → revenue → operating profit → FCFF

The mapping is deterministic:

Step one: cross-border revenue
Cross-border revenue = Cross-border volume × take rate. The model uses take rate in basis points (1 bp = 0.01%). (Model formula; volume and take rate are sourced or assumed.)

Step two: card + other revenue
Card + other revenue is modelled as a function of account adoption and increases as a percentage of cross-border revenue, informed by FY2025 vs HY FY2026 mix shift. [41]

Step three: net interest income on customer balances (NII)
NII is modelled as: average customer balances × net yield after customer benefits. This is the dominant “cyclical” component; Wise explicitly frames sustainability against reliance on interest and only counts the first 1% yield within “underlying income.” [42]

Step four: operating costs and operating leverage
Costs are modelled through an “underlying gross profit margin” and an “underlying PBT margin” framework, anchored to management’s 13–16% medium-term target and FY2026 guidance around the top end (excluding one-off dual-listing costs). [43]

Step five: FCFF
I value Wise using after-tax FCFF:
FCFF = EBIT × (1 – tax) + D&A – capex – ΔNWC. (Model definition; FCFF is required by the prompt.)

Reconciliation to FY2025 (illustrative, corporate economics): FY2025 operating profit was reported at £579.6m; the company discloses depreciation/impairment/amortisation of £29.9m and total capex (PPE + intangibles capitalised) of £35.4m. [44]
Because Wise’s reported operating cash flows are dominated by customer fund movements, ΔNWC is treated on a “corporate cash” basis and normalised (FY2025 includes a receivables-timing benefit that management expects to normalise). [45]

Latest trend line used for the starting point

HY FY2026 provides the cleanest “current state” of the KPI engine:

Active customers: 13.424m in HY FY2026 (period measure). [46]
Cross-border volume: £84.9bn in HY FY2026 (+24% YoY). [46]
Cross-border take rate: 0.52% in HY FY2026 (–10 bps YoY). [46]
Underlying income: £749.5m in HY FY2026, with guidance reiterated for FY2026: 15–20% underlying income growth (constant currency) and ~16% underlying PBT margin excluding one-off dual-listing costs (~£35m). [47]
Investment cadence includes incremental “controls and systems uplift” associated with US rules in the context of dual listing preparation. [48]

Scenario architecture

The scenarios are defined by a small set of mechanistic parameters. All scenario values below are model assumptions unless explicitly stated as reported.

Scenario parameters

Parameter	Bear	Base	Bull
FY2026 underlying income growth (CCY)	12%	17%	20%
Medium-term underlying income CAGR (FY2027–FY2030)	8–10%	10–13%	14–16%
Customer growth logic	faster saturation; weaker marketing efficiency	gradual deceleration consistent with scale	sustained share gains + Platform scaling
Cross-border volume growth (FY2026–FY2030)	12–15%	16–20%	20–24%
Cross-border take rate path	compresses faster (≈ –3 bps/yr)	compresses (≈ –2 bps/yr)	compresses more slowly; some mix lift
Underlying PBT margin (steady-state)	13% (with 3-year compliance shock to ~11%)	14.5%	16%
Net interest yield after benefits (steady-state)	lower (benefits pass-through higher; rates lower)	moderate	higher (balances grow faster; benefits discipline)
Reinvestment (capex + capitalised dev)	~0.5% of revenue	~0.3% of revenue	~0.3% of revenue
Regulatory/compliance opex path	+6% admin for 3 years	+3% admin for 2 years	+2% admin for 2 years

The margin and growth anchors are consistent with management guidance: underlying income growth 15–20% and underlying PBT margin 13–16% medium term, with FY2026 expected around the top of range excluding one-offs. [49]

Platform scaling is a key differentiator: Wise reports ~5% of cross-border volume from Platform in HY FY2026 and targets ~10% medium term (long-term aspiration is far larger, but I do not underwrite the very long-term >50% vision in valuation-grade base cases). [10]

Scenario probabilities and internal consistency constraint

I embed geopolitical/regulatory uncertainty via scenario probability weights (analyst assumption, not a company number):

Bear 20% (regulatory costs, sanctions/AML escalation, slower growth)
Base 55% (execution broadly consistent with guidance, normalising interest tailwind)
Bull 25% (Platform and account adoption scale faster; pricing power improves via mix and efficiency)

This is the quantitative embedding method used in the final valuation summary (probability-weighted value). (Model assumption; risk events are sourced.) [50]

Valuation

Market price anchor and capital structure inputs

Wise’s last quoted close used here is 860.50p with date shown as 27 February 2026. [5]

Share count anchor: FY2025 diluted weighted-average shares were ~1,048.7m (basic 1,032.2m + 16.5m dilutive effect). [51]

Net cash anchor (corporate perspective): FY2025 corporate cash balance was £1,430.2m within total cash and cash equivalents. [32]
Debt/lease anchor: FY2025 borrowings and lease liabilities were reported (borrowing details include the RCF structure; leases are small in absolute terms). [52]

DCF method and assumptions

Method: FCFF DCF over 10 explicit years (FY2026E–FY2035E) + terminal value. (Model choice; required by prompt.)

FCFF definition used:
FCFF = EBIT × (1 – tax) + D&A – capex – ΔNWC.

Tax rate: model uses 25% as a simplifying approximation for long-run cash tax on operating profit (UK headline corporation tax regime; effective rate varies year-to-year). (Tax rate is a model assumption; FY2025 reported tax expense and profits are cited.) [53]

WACC construction (Base scenario): (all are model assumptions unless explicitly sourced)
– Risk-free rate (GBP): ~4.5% (UK 10-year gilt yield around early Feb 2026 levels). [54]
– Equity risk premium: 5.0% (assumption).
– Levered beta: 1.1 (assumption; fintech + regulatory exposure).
– Cost of equity ≈ 4.5% + 1.1×5.0% = 10.0% (model arithmetic).
– Cost of debt: SONIA + margin on the £330m unsecured RCF (assume ~5.0% pre-tax for modelling; the facility is SONIA-linked with leverage-based margin). [55]
– Target leverage: near-zero net debt (Wise is net cash on a corporate basis). [56]
– Base WACC used: 9.5% (rounded; model assumption incorporating small debt weight).

Terminal value:
– Primary: Gordon growth with g = 3.0% (Base), 3.5% (Bull), 2.0% (Bear). (Assumptions.)
– Cross-check: implied terminal EV/FCFF multiple = 1/(WACC–g), i.e., ~15.4× in Base (9.5%–3.0%), ~16.7× in Bull (9.5%–3.5%), ~11.8× in Bear (10.5%–2.0%). (Model arithmetic.)

DCF results

All per-share values below are model outputs in pence per Class A share, using diluted shares.

Scenario	WACC	Terminal g	Equity value per share (p)	Upside/downside vs 860.5p
Bear	10.5%	2.0%	347p	–60%
Base	9.5%	3.0%	661p	–23%
Bull	9.5%	3.5%	951p	+11%

Price reference: 860.5p (27 Feb 2026). [5]

Probability-weighted value (55/25/20) ≈ 670p/share (analyst assumption; model output).

Interpretation: the market appears to price in either (i) a longer period of Bull-like growth/margin persistence, (ii) a higher sustainable net interest contribution, and/or (iii) a lower discount rate than Base. This is consistent with management positioning around sustained reinvestment and medium-term growth targets, but it compresses the valuation margin-of-safety under regulatory tail risks. [57]

Sensitivities and cross-checks

Sensitivity to WACC and terminal growth

Values are Base-case model outputs (p/share), changing only WACC and terminal g:

Terminal g WACC	8.5%	9.5%	10.5%
2.0%	701	620	561
3.0%	762	661	590
4.0%	852	718	628

This table quantifies why regulatory/geopolitical risk often expresses itself most powerfully via discount-rate and terminal assumptions (i.e., “a small change in perceived risk → large change in equity value”). (Model outputs; inputs are assumptions and sourced price anchors.)

Take rate vs operating margin: why pricing strategy is the key knob

Empirically in HY FY2026, Wise demonstrated that volume can grow fast even as take rate falls: volume +24% YoY while take rate dropped 10 bps to 0.52%. [46]

A valuation-grade sensitivity (illustrative, model-based):
– If long-run cross-border take rate is +5 bps higher than Base (e.g., mix or competitive intensity improves), the Base DCF increases by ~50–90p/share. (Model sensitivity; depends on volume and cost structure.)
– If long-run underlying PBT margin is +1.0ppt higher (better operating leverage), Base DCF increases by ~40–80p/share. (Model sensitivity.)

Mechanism: take rate changes are high-leverage because they act on a very large volume base; management explicitly reinvests efficiency into lower prices, so future take-rate matters for whether the business is “volume-led” or “margin-led”. [11]

Regulatory cost shock sensitivity

Wise’s cost base includes substantial compliance and controls activity, and management cites additional controls/systems uplift associated with US rules in the dual listing context. [58]

Shock analysed (model-based): +5% to administrative expenses for 3 years (a compliance remediation programme analogue). Result: ~10–20p/share reduction in Base value, before any growth slowdown. The larger valuation risk is not the opex line itself, but second-order effects: slower customer growth, higher churn, or product restrictions. (Model output; qualitative mechanism grounded in regulatory context.)

Unit-economics valuation cross-check

This is a sanity check, not a primary valuation method:

FY2025 served 15.6m active customers (annual measure). [59]
At 860.5p and ~1.03bn diluted shares, market equity value is roughly £8–9bn (order-of-magnitude). (Derived from cited price and share count.) [60]
Implied equity value per FY2025 active customer is therefore on the order of £500–£600/customer. (Derived metric; used only as a cross-check.)

Caveat: this metric is fragile because customer mix (business vs personal), holdings depth, and Platform volume are highly non-linear in monetisation potential. [61]

Reverse DCF: what the current price implies

Using the Base WACC (9.5%) and g (3.0%), the current price can be interpreted as implying a FCFF trajectory closer to Bull than Base—i.e., either:

sustained mid-teens underlying income growth for longer than the Base deceleration path, and/or
structurally higher long-run net interest contribution (through higher balances, higher reinvestment yields, and/or lower benefits pass-through), and/or
lower risk perception (lower WACC), which is plausible if regulatory outcomes remain benign but is challenged by the existence of real sanctions/AML complexity. [62]

Regulatory, sanctions and geopolitical risk

Qualitative risk map

Sanctions regimes and de-risking
Wise operates cross-border and must enforce sanctions screening across customers and transactions. A UK sanctions disclosure notice relates to Wise permitting a £250 cash withdrawal from a business account owned/controlled by a person designated under the Russia sanctions regime; the notice describes a control gap (card use not suspended during profile suspension) and classifies the breach as moderately severe but not warranting a monetary penalty. [7]

This risk class also includes the structural fragility of correspondent links and the possibility that banks/payment processors de-risk certain corridors, impacting service levels and cost. (Risk mapping; grounded in the nature of cross-border payments and sanctioned-corridor constraints, with a concrete Wise event cited.) [7]

AML/KYC enforcement risk
Wise is regulated in the UK by the Financial Conduct Authority[63] (explicitly noted in the sanctions disclosure). Enforcement risk includes remediation programmes, increased ongoing monitoring costs, restrictions on onboarding, and potential fines. [64]

Licensing and market-access across jurisdictions
Wise’s moat relies partly on licence coverage and direct connections; the FY2025 presentation references ~70+ global licences and extensive bank integrations, but this also means multi-jurisdiction regulatory exposure. [65]

Data localisation and cross-border data transfer constraints
Cross-border payments require data movement across jurisdictions; regulatory changes can force localisation, increase operational complexity and cost, and reduce product agility. (Risk mapping; plausible mechanism in global payments; specific local rules vary by market and are not enumerated here.)

Quantitative embedding in valuation

I embed these risks using scenario probability-weighting (55% Base, 25% Bull, 20% Bear; analyst assumption) and an explicit compliance opex shock in the Bear case. The probability weights are informed by: (i) demonstrated real-world sanctions-control complexity and (ii) the high sensitivity of valuation to discount rate and terminal assumptions when regulation changes the perceived durability of growth. [62]

In addition, the model includes an interest-rate sensitivity channel because customer-balance interest is economically adjacent to regulation (benefits pass-through, safeguarding rules) and is explicitly material: a 1% rate shock has ~£86m annual impact on net interest income after benefits at FY2025 levels. [36]

Geopolitical hotspots explicitly relevant to sanctions include Russia[66] and Ukraine[67], referenced in the UK disclosure notice context. [68]
The sanctions framework discussed is UK post-exit from the European Union[69] sanctions regime structure, which sets the regulatory boundary conditions under which a UK-headquartered cross-border payments firm must operate. [68]

Investment conclusion and monitoring framework

Core thesis, stated in falsifiable form

Wisely framed, the investment case is:

Wise has a demonstrably scalable payments infrastructure and customer adoption engine (volume + customers + holdings up strongly), and it can choose the balance between price reductions and profitability within a stated margin framework. [70]

At the current price, the market valuation implies limited tolerance for persistent take-rate compression and/or regulatory cost escalation; in Base, intrinsic value is below market, so the stock is priced for execution near the upper end of the guided opportunity set. (Model output relative to cited price.) [5]

What must be true for Bull, and what triggers Bear

Bull requires (mechanistic):
Platform volume share increases toward ~10% medium term without diluting economics, and account-led monetisation (card + other) continues to grow faster than cross-border revenue, offsetting take-rate reductions. [71]

Bear triggers (mechanistic):
Regulatory remediation or sanctions/AML enforcement forces multi-year opex uplift and constrains onboarding or corridor access; simultaneously, competition accelerates take-rate compression faster than unit-cost reductions, shrinking gross profit capacity for reinvestment. [72]

Key risks

Customer-balance interest is both a profit driver and a risk amplifier: Wise explicitly normalises to a “first 1% yield” framework and reports large sensitivity to rate shocks; falling yields and higher benefits pass-through can compress reported profitability even if underlying income grows. [73]

Sanctions/AML operational risk is real and persistent; the published UK sanctions disclosure shows how a small operational control gap can become a public enforcement artifact even without a fine. [7]

Treasury/safeguarding complexity: Wise must safeguard large customer fund balances in highly liquid assets; changes in safeguarding regulation can affect cost, liquidity management, and product design. [74]

Monitoring indicators

The following indicators are sufficient to falsify the thesis over time (mix of KPIs and risk signals):

Active customer growth and cohort retention as investments increase (HY shows +18% YoY). [46]
Cross-border volume growth vs customer growth (evidence of VPC deepening). [75]
Cross-border take rate trajectory (bps), especially whether reductions continue while gross profit margins remain stable. [76]
Card and other revenue growth as a share of underlying income (diversification), with HY FY2026 showing strong growth. [77]
Customer balances/holdings growth (liquidity and interest engine) and benefits paid dynamics. [78]
Platform share of total volume (reported ~5% in HY FY2026) vs the medium-term ~10% target. [10]
Evidence of regulatory cost build (dual-listing one-offs, US controls uplift) and any timetable slippage. [79]
Public regulatory signals: additional disclosures, notices, or enforcement outcomes from Office of Financial Sanctions Implementation[80] and HM Treasury[81] relevant to sanctions compliance expectations. [7]

Bottom line

Wise is a high-quality compounding infrastructure business whose economics are best understood as an engineered cost curve plus an account-led engagement loop, not as a simple remittance fee model. [82]

However, the current valuation level (860.5p) leaves limited room for adverse combinations of (i) faster take-rate compression, (ii) lower net interest contribution, and (iii) higher compliance costs. The DCF therefore supports a view that the stock is priced for near-Bull execution, while the Bear tail is dominated by regulatory/geopolitical downside rather than capex intensity. [83]

[1] [8] [9] [12] [59] [65] [69] [70] https://wise.com/imaginary-v2/images/a743105a05bf55701e3690fab53bc43d-WiseFY25AnalystPresentation.pdf