Fnb (FNB) Operating Expenses (2009 - 2026)
Fnb (FNB) reported Operating Expenses of $253 million for Q2 2026, up 2.4% from $247 million a year earlier but down 1.9% from the prior quarter.
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Analysis
Fnb (FNB) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Fnb's Operating Expenses came in at $1.03 billion, up 3.8% year-over-year; for FY2025, it came in at $1.01 billion, up 5.1% from FY2024.
- Operating Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- By year, Operating Expenses came in at $961 million in FY2024 (+5.0%), $915 million in FY2023 (+10.8%), $826 million in FY2022 (+12.7%) and $733 million in FY2021 (-2.3%).
- Five-year quarterly Operating Expenses spans a low of $182 million in Q4 2021 and a high of $274 million in Q4 2025.
- Year over year, Operating Expenses has now increased in each of the last three quarters, with growth averaging 4.5% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2023 (growth of 25.6%); the low point was Q4 2021 (a decline of 8.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $258 million (Q1 2026), $274 million (Q4 2025) and $243 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 13.66 Bn |
| 10 | Fnb | 6.11 Bn | -3.83 Bn | - | 253.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 253.00 Mn |
| Mar 31, 2026 | 258.00 Mn |
| Dec 31, 2025 | 274.00 Mn |
| Sep 30, 2025 | 243.00 Mn |
| Jun 30, 2025 | 247.00 Mn |
| Mar 31, 2025 | 246.00 Mn |
| Dec 31, 2024 | 248.00 Mn |
| Sep 30, 2024 | 249.00 Mn |
| Jun 30, 2024 | 227.00 Mn |
| Mar 31, 2024 | 237.00 Mn |
| Dec 31, 2023 | 265.00 Mn |
| Sep 30, 2023 | 218.00 Mn |
| Jun 30, 2023 | 212.00 Mn |
| Mar 31, 2023 | 220.00 Mn |
| Dec 31, 2022 | 211.00 Mn |
| Sep 30, 2022 | 195.00 Mn |
| Jun 30, 2022 | 193.00 Mn |
| Mar 31, 2022 | 227.00 Mn |
| Dec 31, 2021 | 182.00 Mn |
| Sep 30, 2021 | 184.00 Mn |
API Access
Fnb 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=FNB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FNB", "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=FNB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();