Bank Of Hawaii (BOH) Provision for Losses (2009 - 2026)
Bank Of Hawaii's Provision for Losses was $2.75 million in Q3 2026, up 10.0% from $2.5 million a year earlier but down 23.6% from the prior quarter.
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Analysis
Bank Of Hawaii (BOH) Provision for Losses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bank Of Hawaii's Provision for Losses was $10.6 million through Sep 30, 2026, down 16.9% year-over-year; for FY2025, it came in at $11.5 million, up 3.1% from FY2024.
- Provision for Losses shows a five-year compound annual growth rate of -37.2% (FY2020 to FY2025).
- In earlier years, Provision for Losses was $11.15 million in FY2024 (+23.9%), $9 million in FY2023, -$7.8 million in FY2022 and -$50.5 million in FY2021.
- Quarterly Provision for Losses has moved between -$9.7 million (Q4 2021) and $3.75 million (Q4 2024) over five years.
- Compared with a year earlier, Provision for Losses was higher in five of the last eight quarters, with growth averaging 9.1%.
- The best year-over-year quarter for Provision for Losses over five years was Q1 2025 (growth of 62.5%); the worst was Q1 2026 (a decline of 46.2%).
- Per Business Quant data, BOH's Provision for Losses in the three quarters before Q3 2026 was $3.6 million (Q2 2026), $1.75 million (Q1 2026) and $2.5 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.30 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 | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Bank Of Hawaii | 2.76 Bn | 495.48 Mn | - | 2.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.75 Mn |
| Jun 30, 2026 | 3.60 Mn |
| Mar 31, 2026 | 1.75 Mn |
| Dec 31, 2025 | 2.50 Mn |
| Sep 30, 2025 | 2.50 Mn |
| Jun 30, 2025 | 3.25 Mn |
| Mar 31, 2025 | 3.25 Mn |
| Dec 31, 2024 | 3.75 Mn |
| Sep 30, 2024 | 3.00 Mn |
| Jun 30, 2024 | 2.40 Mn |
| Mar 31, 2024 | 2.00 Mn |
| Dec 31, 2023 | 2.50 Mn |
| Sep 30, 2023 | 2.00 Mn |
| Jun 30, 2023 | 2.50 Mn |
| Mar 31, 2023 | 2.00 Mn |
| Dec 31, 2022 | 200,000.00 |
| Jun 30, 2022 | -2.50 Mn |
| Mar 31, 2022 | -5.50 Mn |
| Dec 31, 2021 | -9.70 Mn |
| Sep 30, 2021 | -10.40 Mn |
API Access
Bank Of Hawaii Provision for Losses 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=provision-for-losses&ticker=BOH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "BOH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=provision-for-losses&ticker=BOH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();