Capital One Financial (COF) Operating Expenses (2009 - 2026)
Capital One Financial (COF) recorded Operating Expenses of $9.04 billion in Q2 2026, up 29.4% from $6.99 billion a year earlier and up 6.8% from the prior quarter.
Capital One Financial (COF) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Capital One Financial's Operating Expenses came in at $35.11 billion as of Jun 30, 2026, up 44.5% year-over-year; for FY2025, it came in at $30.5 billion, up 41.9% from FY2024.
- Annual Operating Expenses has increased for five straight years, with a five-year compound annual growth rate of 15.2% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $21.49 billion in FY2024 (+5.8%), $20.32 billion in FY2023 (+6.0%), $19.16 billion in FY2022 (+15.6%) and $16.57 billion in FY2021 (+10.1%).
- Quarterly Operating Expenses has ranged from $4.19 billion in Q3 2021 to $9.34 billion in Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for 11 consecutive quarters, with growth averaging 31.7% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 55.5% in Q3 2025, against a decline of 1.8% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $8.46 billion (Q1 2026), $9.34 billion (Q4 2025) and $8.26 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 319.39 Bn | 319.44 Bn | - | - |
| 5 | Morgan Stanley | 298.67 Bn | -210.43 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 268.75 Bn | -557.52 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - | 13.66 Bn |
| 10 | Capital One Financial | 122.27 Bn | 122.27 Bn | - | 9.04 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.04 Bn |
| Mar 31, 2026 | 8.46 Bn |
| Dec 31, 2025 | 9.34 Bn |
| Sep 30, 2025 | 8.26 Bn |
| Jun 30, 2025 | 6.99 Bn |
| Mar 31, 2025 | 5.90 Bn |
| Dec 31, 2024 | 6.09 Bn |
| Sep 30, 2024 | 5.31 Bn |
| Jun 30, 2024 | 4.95 Bn |
| Mar 31, 2024 | 5.14 Bn |
| Dec 31, 2023 | 5.72 Bn |
| Sep 30, 2023 | 4.86 Bn |
| Jun 30, 2023 | 4.79 Bn |
| Mar 31, 2023 | 4.95 Bn |
| Dec 31, 2022 | 5.08 Bn |
| Sep 30, 2022 | 4.95 Bn |
| Jun 30, 2022 | 4.58 Bn |
| Mar 31, 2022 | 4.55 Bn |
| Dec 31, 2021 | 4.68 Bn |
| Sep 30, 2021 | 4.19 Bn |
Capital One Financial 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=COF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "COF", "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=COF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();