Pathward Financial (CASH) Accumulated Expenses (2009 - 2026)
Pathward Financial's Accumulated Expenses was $373.62 million in fiscal Q4 2026 (quarter ended Sep 30, 2026), down 3.1% from $385.49 million a year earlier but up 19.8% from the prior quarter.
Powered by 
Analysis
Pathward Financial (CASH) Accumulated Expenses (2009 - 2026) Analysis & Trends
From fiscal Q4 2010 onward, Pathward Financial has reported Accumulated Expenses for 63 quarters.
- Accumulated Expenses shows a five-year compound annual growth rate of 12.1% (FY2021 to FY2026).
- In earlier fiscal years, Accumulated Expenses was $385.49 million in FY2025 (-9.2%), $424.39 million in FY2024 (+70.4%), $249 million in FY2023 (+24.4%) and $200.22 million in FY2022 (-5.1%).
- 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 was higher in five of the last eight quarters, with growth averaging 7.9%.
- 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 Q4 2026 was $311.89 million (Q3 2026), $350.52 million (Q2 2026) and $322.62 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Pathward Financial | 1.56 Bn | 1.56 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 373.62 Mn |
| 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 |
API Access
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_KEYimport 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();