Pathward Financial (CASH) Change in Accured Expenses (2011 - 2026)
Pathward Financial's Change in Accured Expenses was -$37.71 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with -$70.11 million a year earlier.
Pathward Financial (CASH) Change in Accured Expenses (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pathward Financial's Change in Accured Expenses was $57.3 million through Jun 30, 2026; for FY2025 (ended Sep 30, 2025), it came in at -$33.64 million.
- In earlier fiscal years, Change in Accured Expenses was $176.04 million in FY2024 (+260.9%), $48.78 million in FY2023, -$10.62 million in FY2022 and $43.92 million in FY2021.
- Quarterly Change in Accured Expenses has moved between -$128.23 million (fiscal Q1 2025) and $129.98 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in two of the last four quarters, with growth averaging 43.7%.
- The best year-over-year quarter for Change in Accured Expenses over five years was fiscal Q4 2024 (growth of 194.4%); the worst was fiscal Q2 2022 (a decline of 47.5%).
- Per Business Quant data, CASH's Change in Accured Expenses in the three fiscal quarters before Q3 2026 was $27.9 million (Q2 2026), -$62.87 million (Q1 2026) and $129.98 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 22.64 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 27.13 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 | - | 14.35 Bn |
| 10 | Pathward Financial | 1.54 Bn | 777.84 Mn | - | -37.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -37.71 Mn |
| Mar 31, 2026 | 27.90 Mn |
| Dec 31, 2025 | -62.87 Mn |
| Sep 30, 2025 | 129.98 Mn |
| Jun 30, 2025 | -70.11 Mn |
| Mar 31, 2025 | 34.71 Mn |
| Dec 31, 2024 | -128.23 Mn |
| Sep 30, 2024 | 124.10 Mn |
| Jun 30, 2024 | 35.27 Mn |
| Mar 31, 2024 | 36.42 Mn |
| Dec 31, 2023 | -19.75 Mn |
| Sep 30, 2023 | 42.15 Mn |
| Jun 30, 2023 | -8.00 Mn |
| Mar 31, 2023 | 38.84 Mn |
| Dec 31, 2022 | -24.21 Mn |
| Sep 30, 2022 | 25.94 Mn |
| Jun 30, 2022 | -28.16 Mn |
| Mar 31, 2022 | 36.91 Mn |
| Dec 31, 2021 | -45.31 Mn |
| Sep 30, 2021 | 18.59 Mn |
Pathward Financial Change in Accured 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=change-in-accured-expenses&ticker=CASH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=CASH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();