Keycorp (KEY) Operating Expenses (2009 - 2026)
Keycorp's Operating Expenses came in at $1.22 billion for Q2 2026, up 5.5% from $1.15 billion a year earlier and up 3.0% from the prior quarter.
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Analysis
Keycorp (KEY) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Keycorp reported Operating Expenses of $4.82 billion, up 4.5% year-over-year; for FY2025, it was $4.7 billion, up 3.5% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $4.55 billion in FY2024 (-4.0%), $4.73 billion in FY2023 (+7.3%), $4.41 billion in FY2022 (-0.4%) and $4.43 billion in FY2021 (+7.8%).
- The five-year range for quarterly Operating Expenses is $1.07 billion (Q1 2022) to $1.37 billion (Q4 2023).
- Year-over-year, Operating Expenses has increased for five consecutive quarters, with growth averaging 1.6% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2023 (growth of 18.7%), and the weakest in Q4 2024 (a decline of 10.4%).
- Business Quant data shows KEY's Operating Expenses at $1.18 billion (Q1 2026), $1.24 billion (Q4 2025) and $1.18 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | Keycorp | 21.42 Bn | -26.28 Bn | - | 1.22 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.22 Bn |
| Mar 31, 2026 | 1.18 Bn |
| Dec 31, 2025 | 1.24 Bn |
| Sep 30, 2025 | 1.18 Bn |
| Jun 30, 2025 | 1.15 Bn |
| Mar 31, 2025 | 1.13 Bn |
| Dec 31, 2024 | 1.23 Bn |
| Sep 30, 2024 | 1.09 Bn |
| Jun 30, 2024 | 1.08 Bn |
| Mar 31, 2024 | 1.14 Bn |
| Dec 31, 2023 | 1.37 Bn |
| Sep 30, 2023 | 1.11 Bn |
| Jun 30, 2023 | 1.08 Bn |
| Mar 31, 2023 | 1.18 Bn |
| Dec 31, 2022 | 1.16 Bn |
| Sep 30, 2022 | 1.11 Bn |
| Jun 30, 2022 | 1.08 Bn |
| Mar 31, 2022 | 1.07 Bn |
| Dec 31, 2021 | 1.17 Bn |
| Sep 30, 2021 | 1.11 Bn |
API Access
Keycorp 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=KEY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "KEY", "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=KEY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();