Western Alliance Bancorporation (WAL) Operating Expenses (2009 - 2026)
Western Alliance Bancorporation (WAL) recorded Operating Expenses of $595.1 million in Q3 2026, up 9.3% from $544.4 million a year earlier and up 2.0% from the prior quarter.
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Analysis
Western Alliance Bancorporation (WAL) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Western Alliance Bancorporation's Operating Expenses came in at $2.31 billion as of Sep 30, 2026, up 10.9% year-over-year; for FY2025, it came in at $2.11 billion, up 4.3% from FY2024.
- Annual Operating Expenses has increased for 13 straight years, with a five-year compound annual growth rate of 33.8% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $2.03 billion in FY2024 (+24.7%), $1.62 billion in FY2023 (+40.3%), $1.16 billion in FY2022 (+35.9%) and $851.4 million in FY2021 (+73.2%).
- The Q3 2026 figure is the highest quarterly Operating Expenses in data going back to Q2 2010.
- On a year-over-year basis, Operating Expenses has increased for 24 consecutive quarters, with growth averaging 8.4% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 1.3% (Q3 2025) and 84.1% (Q1 2022) over the last five years.
- Per Business Quant, the preceding three quarters came in at $583.3 million (Q2 2026), $574.4 million (Q1 2026) and $552.2 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 27.30 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 19.72 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 8.82 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 13.71 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 7.02 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 11.31 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 13.74 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 17.50 Bn |
| 10 | Western Alliance Bancorporation | 8.21 Bn | -15.23 Bn | - | 595.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 595.10 Mn |
| Jun 30, 2026 | 583.30 Mn |
| Mar 31, 2026 | 574.40 Mn |
| Dec 31, 2025 | 552.20 Mn |
| Sep 30, 2025 | 544.40 Mn |
| Jun 30, 2025 | 514.70 Mn |
| Mar 31, 2025 | 500.40 Mn |
| Dec 31, 2024 | 519.00 Mn |
| Sep 30, 2024 | 537.40 Mn |
| Jun 30, 2024 | 486.80 Mn |
| Mar 31, 2024 | 481.80 Mn |
| Dec 31, 2023 | 461.90 Mn |
| Sep 30, 2023 | 426.20 Mn |
| Jun 30, 2023 | 387.40 Mn |
| Mar 31, 2023 | 347.90 Mn |
| Dec 31, 2022 | 333.40 Mn |
| Sep 30, 2022 | 305.80 Mn |
| Jun 30, 2022 | 268.90 Mn |
| Mar 31, 2022 | 248.60 Mn |
| Dec 31, 2021 | 237.80 Mn |
API Access
Western Alliance Bancorporation 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=WAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "WAL", "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=WAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();