Fifth Third Bancorp (FITB) Operating Expenses (2009 - 2026)
Fifth Third Bancorp's Operating Expenses was $2.11 billion in Q2 2026, up 66.9% from $1.26 billion a year earlier.
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Analysis
Fifth Third Bancorp (FITB) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Fifth Third Bancorp's Operating Expenses was $5.95 billion through Jun 30, 2026, up 18.1% year-over-year; for FY2025, it came in at $5.14 billion, up 2.2% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $5.03 billion in FY2024 (-3.3%), $5.21 billion in FY2023 (+10.3%), $4.72 billion in FY2022 (-0.6%) and $4.75 billion in FY2021 (+0.6%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q1 2009.
- Compared with a year earlier, Operating Expenses was higher in five of the last seven quarters, with growth averaging 9.3%.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2026 (growth of 66.9%); the worst was Q4 2024 (a decline of 15.7%).
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Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.11 Bn |
| Dec 31, 2025 | 1.31 Bn |
| Sep 30, 2025 | 1.27 Bn |
| Jun 30, 2025 | 1.26 Bn |
| Mar 31, 2025 | 1.30 Bn |
| Dec 31, 2024 | 1.23 Bn |
| Sep 30, 2024 | 1.24 Bn |
| Jun 30, 2024 | 1.22 Bn |
| Mar 31, 2024 | 1.34 Bn |
| Dec 31, 2023 | 1.46 Bn |
| Sep 30, 2023 | 1.19 Bn |
| Jun 30, 2023 | 1.23 Bn |
| Mar 31, 2023 | 1.33 Bn |
| Dec 31, 2022 | 1.22 Bn |
| Sep 30, 2022 | 1.17 Bn |
| Jun 30, 2022 | 1.11 Bn |
| Mar 31, 2022 | 1.22 Bn |
| Dec 31, 2021 | 1.21 Bn |
| Sep 30, 2021 | 1.17 Bn |
| Jun 30, 2021 | 1.15 Bn |
API Access
Fifth Third 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=FITB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FITB", "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=FITB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();