Pathward Financial (CASH) Accumulated Expenses (2010 - 2026)
Pathward Financial's Accumulated Expenses was $311.89 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 20.9% from $258.02 million a year earlier but down 11.0% from the prior quarter.
Pathward Financial (CASH) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Accumulated Expenses at Pathward Financial came in at $385.49 million, down 9.2% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 18.4% (FY2020 to FY2025).
- In earlier fiscal years, Accumulated Expenses was $424.39 million in FY2024 (+70.4%), $249 million in FY2023 (+24.4%), $200.22 million in FY2022 (-5.1%) and $210.96 million in FY2021 (+27.5%).
- Quarterly Accumulated Expenses has moved between $165.65 million (fiscal Q1 2022) and $424.39 million (fiscal Q4 2024) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for three straight quarters, with growth averaging 17.1% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q4 2024 (growth of 70.4%); the worst was fiscal Q3 2023 (a decline of 24.0%).
- Per Business Quant data, CASH's Accumulated Expenses in the three fiscal quarters before Q3 2026 was $350.52 million (Q2 2026), $322.62 million (Q1 2026) and $385.49 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - |
| 10 | Pathward Financial | 1.54 Bn | 777.84 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 311.89 Mn |
| Mar 31, 2026 | 350.52 Mn |
| Dec 31, 2025 | 322.62 Mn |
| Sep 30, 2025 | 385.49 Mn |
| Jun 30, 2025 | 258.02 Mn |
| Mar 31, 2025 | 328.13 Mn |
| Dec 31, 2024 | 293.54 Mn |
| Sep 30, 2024 | 424.39 Mn |
| Jun 30, 2024 | 300.29 Mn |
| Mar 31, 2024 | 265.02 Mn |
| Dec 31, 2023 | 228.60 Mn |
| Sep 30, 2023 | 249.00 Mn |
| Jun 30, 2023 | 209.88 Mn |
| Mar 31, 2023 | 214.85 Mn |
| Dec 31, 2022 | 176.02 Mn |
| Sep 30, 2022 | 200.22 Mn |
| Jun 30, 2022 | 276.01 Mn |
| Mar 31, 2022 | 202.56 Mn |
| Dec 31, 2021 | 165.65 Mn |
| Sep 30, 2021 | 210.96 Mn |
Pathward Financial 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=CASH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "CASH", "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=CASH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();