First Hawaiian (FHB) Provision for Credit Losses (2015 - 2026)
First Hawaiian (FHB) posted Provision for Credit Losses of $20.31 million for Q3 2026, up 351.3% from $4.5 million a year earlier and up 262.6% from the prior quarter.
First Hawaiian (FHB) Provision for Credit Losses (2015 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Provision for Credit Losses at First Hawaiian was $38.61 million, up 105.9% year-over-year; for FY2025, it was $27.2 million, up 84.4% from FY2024.
- Annual Provision for Credit Losses shows a five-year compound annual growth rate of -25.9% (FY2020 to FY2025).
- In prior years, First Hawaiian's Provision for Credit Losses was $14.75 million in FY2024 (-44.6%), $26.63 million in FY2023, $1.39 million in FY2022 and -$39 million in FY2021.
- The Q3 2026 figure stands as the highest quarterly Provision for Credit Losses since Q2 2020.
- On a year-over-year basis, Provision for Credit Losses increased in four of the last six quarters, with growth averaging 83.5%.
- The strongest year-over-year quarter for Provision for Credit Losses in the past five years was Q2 2023, with growth of 400.0%; the weakest was Q2 2024, with a decline of 64.0%.
- According to Business Quant data, Provision for Credit Losses for the three prior quarters was $5.6 million (Q2 2026), $5 million (Q1 2026) and $7.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 838.45 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.24 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 103.00 Mn |
| 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 | First Hawaiian | 3.04 Bn | 3.04 Bn | - | 20.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.31 Mn |
| Jun 30, 2026 | 5.60 Mn |
| Mar 31, 2026 | 5.00 Mn |
| Dec 31, 2025 | 7.70 Mn |
| Sep 30, 2025 | 4.50 Mn |
| Jun 30, 2025 | 4.50 Mn |
| Mar 31, 2025 | 10.50 Mn |
| Dec 31, 2024 | -750,000.00 |
| Sep 30, 2024 | 7.40 Mn |
| Jun 30, 2024 | 1.80 Mn |
| Mar 31, 2024 | 6.30 Mn |
| Dec 31, 2023 | 5.33 Mn |
| Sep 30, 2023 | 7.50 Mn |
| Jun 30, 2023 | 5.00 Mn |
| Mar 31, 2023 | 8.80 Mn |
| Dec 31, 2022 | 2.96 Mn |
| Sep 30, 2022 | 3.18 Mn |
| Jun 30, 2022 | 1.00 Mn |
| Mar 31, 2022 | -5.75 Mn |
| Sep 30, 2021 | -4.00 Mn |
First Hawaiian Provision for Credit 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-credit-losses&ticker=FHB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "ticker": "FHB", "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-credit-losses&ticker=FHB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();