Wex (WEX) Accumulated Expenses (2009 - 2026)
Wex (WEX) posted Accumulated Expenses of $538.5 million for Q2 2026, down 21.9% from $689.2 million a year earlier but up 2.3% from the prior quarter.
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Analysis
Wex (WEX) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Wex's Accumulated Expenses came in at $695.2 million, up 6.4% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 13.9% (FY2020 to FY2025).
- In prior years, Wex's Accumulated Expenses was $653.6 million in FY2024 (-18.6%), $802.7 million in FY2023 (+24.7%), $643.9 million in FY2022 (+22.0%) and $527.59 million in FY2021 (+45.6%).
- Quarterly Accumulated Expenses has run from a low of $432.88 million in Q3 2021 to a high of $802.7 million in Q4 2023 over five years.
- On a year-over-year basis, Accumulated Expenses increased in 1 of the last eight quarters, with an average decline of 8.7%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2023, with growth of 64.2%; the weakest was Q2 2026, with a decline of 21.9%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $526.3 million (Q1 2026), $695.2 million (Q4 2025) and $665.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coinbase Global | 49.17 Bn | 5.98 Bn | - |
| 2 | PayPal Holdings | 45.28 Bn | 3.51 Bn | - |
| 3 | Block | 44.18 Bn | 15.44 Bn | 3.17 Bn |
| 4 | Iren | 31.11 Bn | 18.70 Bn | 103.89 Mn |
| 5 | Corpay | 25.52 Bn | 15.72 Bn | - |
| 6 | Fiserv | 24.03 Bn | 20.73 Bn | 2.90 Bn |
| 7 | Global Payments | 21.72 Bn | 155.29 Mn | 2.03 Bn |
| 8 | Bitmine Immersion Technologies | 15.32 Bn | 12.70 Bn | 40.81 Mn |
| 9 | Guidewire Software | 11.69 Bn | 8.26 Bn | 269.68 Mn |
| 10 | Wex | 5.79 Bn | -15.90 Bn | 463.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 538.50 Mn |
| Mar 31, 2026 | 526.30 Mn |
| Dec 31, 2025 | 695.20 Mn |
| Sep 30, 2025 | 665.90 Mn |
| Jun 30, 2025 | 689.20 Mn |
| Mar 31, 2025 | 607.10 Mn |
| Dec 31, 2024 | 653.60 Mn |
| Sep 30, 2024 | 679.90 Mn |
| Jun 30, 2024 | 702.90 Mn |
| Mar 31, 2024 | 671.20 Mn |
| Dec 31, 2023 | 802.70 Mn |
| Sep 30, 2023 | 745.10 Mn |
| Jun 30, 2023 | 733.50 Mn |
| Mar 31, 2023 | 713.40 Mn |
| Dec 31, 2022 | 643.90 Mn |
| Sep 30, 2022 | 567.04 Mn |
| Jun 30, 2022 | 529.87 Mn |
| Mar 31, 2022 | 434.42 Mn |
| Dec 31, 2021 | 527.59 Mn |
| Sep 30, 2021 | 432.88 Mn |
API Access
Wex Accumulated Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=WEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "WEX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=WEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();