Provident Financial Holdings (PROV) Other Accumulated Expenses (2019 - 2026)
Provident Financial Holdings' Other Accumulated Expenses came in at $702,000 for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 5.3% from $741,000 a year earlier.
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Analysis
Provident Financial Holdings (PROV) Other Accumulated Expenses (2019 - 2026) Analysis & Trends
Going back to fiscal Q4 2019, Provident Financial Holdings' Other Accumulated Expenses data covers 8 quarters.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 41.2% (FY2021 to FY2026).
- Going back by fiscal year, Other Accumulated Expenses was $741,000 in FY2025 (+64.7%), $450,000 in FY2024 (+66.7%), $270,000 in FY2023 (+55.2%) and $174,000 in FY2022 (+39.2%).
- The fiscal Q4 2026 figure represents the lowest quarterly Other Accumulated Expenses since fiscal Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - |
| 10 | Provident Financial Holdings | 114.35 Mn | -99.60 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 702,000.00 |
| Jun 30, 2025 | 741,000.00 |
| Jun 30, 2024 | 450,000.00 |
| Jun 30, 2023 | 270,000.00 |
| Jun 30, 2022 | 174,000.00 |
| Jun 30, 2021 | 125,000.00 |
| Jun 30, 2020 | 184,000.00 |
| Jun 30, 2019 | 196,000.00 |
API Access
Provident Financial Holdings Other 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=other-accumulated-expenses&ticker=PROV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "PROV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=PROV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();