First Financial Bancorp (FFBC) Provision for Losses (2009 - 2026)
First Financial Bancorp's Provision for Losses came in at $8.19 million for Q2 2026, down 16.4% from $9.8 million a year earlier and down 4.1% from the prior quarter.
First Financial Bancorp (FFBC) Provision for Losses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, First Financial Bancorp reported Provision for Losses of $35.9 million, down 6.9% year-over-year; for FY2025, it was $37.67 million, down 21.0% from FY2024.
- Provision for Losses carries a five-year compound annual growth rate of -11.8% (FY2020 to FY2025).
- Going back by year, Provision for Losses was $47.66 million in FY2024 (+10.6%), $43.11 million in FY2023 (+268.0%), $11.71 million in FY2022 and -$18.12 million in FY2021.
- The Q2 2026 figure represents the lowest quarterly Provision for Losses since Q2 2022.
- Year-over-year, Provision for Losses increased in 1 of the last eight quarters, with an average decline of 13.1%.
- The fastest year-over-year change in Provision for Losses over five years came in Q2 2024 (growth of 53.3%), and the weakest in Q2 2025 (a decline of 40.4%).
- Business Quant data shows FFBC's Provision for Losses at $8.54 million (Q1 2026), $10.1 million (Q4 2025) and $9.07 million (Q3 2025) in the three quarters before Q2 2026.
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 | First Financial Bancorp | 3.46 Bn | 3.46 Bn | - | 8.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.98 Mn |
| Jun 30, 2026 | 12.93 Mn |
| Mar 31, 2026 | 8.54 Mn |
| Dec 31, 2025 | 10.10 Mn |
| Sep 30, 2025 | 8.61 Mn |
| Jun 30, 2025 | 9.08 Mn |
| Mar 31, 2025 | 8.70 Mn |
| Dec 31, 2024 | 9.43 Mn |
| Sep 30, 2024 | 9.93 Mn |
| Jun 30, 2024 | 16.16 Mn |
| Mar 31, 2024 | 11.16 Mn |
| Dec 31, 2023 | 10.23 Mn |
| Sep 30, 2023 | 12.91 Mn |
| Jun 30, 2023 | 12.72 Mn |
| Mar 31, 2023 | 10.48 Mn |
| Dec 31, 2022 | 10.03 Mn |
| Sep 30, 2022 | 7.90 Mn |
| Jun 30, 2022 | -4.27 Mn |
| Mar 31, 2022 | -5.82 Mn |
| Dec 31, 2021 | -7.73 Mn |
First Financial Bancorp 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=FFBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "FFBC", "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=FFBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();