Western Alliance Bancorporation (WAL) EBITDA (2010 - 2026)
Western Alliance Bancorporation (WAL) posted EBITDA of $796.3 million for Q2 2026, up 2.8% from $774.5 million a year earlier and up 16.8% from the prior quarter.
Western Alliance Bancorporation (WAL) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Western Alliance Bancorporation was $3.13 billion, up 3.3% year-over-year; for FY2025, it was $3.14 billion, up 4.5% from FY2024.
- Annual EBITDA has increased for five consecutive years, with a five-year compound annual growth rate of 33.5% (FY2020 to FY2025).
- In prior years, Western Alliance Bancorporation's EBITDA was $3.01 billion in FY2024 (+11.7%), $2.69 billion in FY2023 (+46.0%), $1.84 billion in FY2022 (+45.6%) and $1.27 billion in FY2021 (+71.1%).
- Quarterly EBITDA has run from a low of $344.3 million in Q1 2022 to a high of $834.4 million in Q4 2025 over five years.
- On a year-over-year basis, EBITDA increased in seven of the last eight quarters, with growth averaging 4.4%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2023, with growth of 86.7%; the weakest was Q1 2026, with a decline of 4.8%.
- According to Business Quant data, EBITDA for the three prior quarters was $681.7 million (Q1 2026), $834.4 million (Q4 2025) and $816.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 20.89 Bn |
| 10 | Western Alliance Bancorporation | 8.20 Bn | 8.16 Bn | - | 796.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 796.30 Mn |
| Mar 31, 2026 | 681.70 Mn |
| Dec 31, 2025 | 834.40 Mn |
| Sep 30, 2025 | 816.60 Mn |
| Jun 30, 2025 | 774.50 Mn |
| Mar 31, 2025 | 716.40 Mn |
| Dec 31, 2024 | 761.30 Mn |
| Sep 30, 2024 | 777.60 Mn |
| Jun 30, 2024 | 760.20 Mn |
| Mar 31, 2024 | 708.70 Mn |
| Dec 31, 2023 | 677.40 Mn |
| Sep 30, 2023 | 727.40 Mn |
| Jun 30, 2023 | 728.10 Mn |
| Mar 31, 2023 | 560.10 Mn |
| Dec 31, 2022 | 629.60 Mn |
| Sep 30, 2022 | 480.20 Mn |
| Jun 30, 2022 | 389.90 Mn |
| Mar 31, 2022 | 344.30 Mn |
| Dec 31, 2021 | 350.80 Mn |
| Sep 30, 2021 | 345.40 Mn |
Western Alliance Bancorporation EBITDA 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=ebitda&ticker=WAL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=WAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();