First Financial Bancorp (FFBC) Operating Expenses (2010 - 2026)
First Financial Bancorp's Operating Expenses came in at $161.54 million for Q2 2026, up 25.5% from $128.67 million a year earlier but down 4.6% from the prior quarter.
First Financial Bancorp (FFBC) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, First Financial Bancorp reported Operating Expenses of $614.75 million, up 15.9% year-over-year; for FY2025, it was $540.55 million, up 4.0% from FY2024.
- Operating Expenses has increased in each of the last 11 years, with a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $519.6 million in FY2024 (+8.6%), $478.49 million in FY2023 (+5.1%), $455.35 million in FY2022 (+13.6%) and $400.81 million in FY2021 (+2.6%).
- The five-year range for quarterly Operating Expenses is $99.06 million (Q3 2021) to $169.41 million (Q1 2026).
- Year-over-year, Operating Expenses has increased for ten consecutive quarters, with growth averaging 12.7% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2026 (growth of 32.3%), and the weakest in Q4 2021 (a decline of 4.5%).
- Business Quant data shows FFBC's Operating Expenses at $169.41 million (Q1 2026), $149.53 million (Q4 2025) and $134.27 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.66 Bn |
| 10 | First Financial Bancorp | 3.29 Bn | 3.29 Bn | - | 161.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 161.54 Mn |
| Mar 31, 2026 | 169.41 Mn |
| Dec 31, 2025 | 149.53 Mn |
| Sep 30, 2025 | 134.27 Mn |
| Jun 30, 2025 | 128.67 Mn |
| Mar 31, 2025 | 128.08 Mn |
| Dec 31, 2024 | 147.91 Mn |
| Sep 30, 2024 | 125.76 Mn |
| Jun 30, 2024 | 123.57 Mn |
| Mar 31, 2024 | 122.36 Mn |
| Dec 31, 2023 | 119.14 Mn |
| Sep 30, 2023 | 122.04 Mn |
| Jun 30, 2023 | 120.62 Mn |
| Mar 31, 2023 | 116.69 Mn |
| Dec 31, 2022 | 124.44 Mn |
| Sep 30, 2022 | 125.07 Mn |
| Jun 30, 2022 | 103.03 Mn |
| Mar 31, 2022 | 102.81 Mn |
| Dec 31, 2021 | 109.61 Mn |
| Sep 30, 2021 | 99.06 Mn |
First Financial Bancorp Operating 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=operating-expenses&ticker=FFBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FFBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();