Westamerica Bancorporation (WABC) EBITDA (2009 - 2026)
Westamerica Bancorporation (WABC) recorded EBITDA of $40.79 million in Q2 2026, down 8.3% from $44.47 million a year earlier but up 0.2% from the prior quarter.
Westamerica Bancorporation (WABC) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Westamerica Bancorporation's EBITDA came in at $167.42 million as of Jun 30, 2026, down 15.0% year-over-year; for FY2025, it came in at $177.64 million, down 18.1% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $216.88 million in FY2024 (-8.6%), $237.24 million in FY2023 (+28.9%), $184.08 million in FY2022 (+35.8%) and $135.6 million in FY2021 (+3.3%).
- Quarterly EBITDA has ranged from $34.78 million in Q3 2021 to $61.09 million in Q3 2023 over the past five years.
- On a year-over-year basis, EBITDA has declined for ten consecutive quarters, with an average decline of 15.0% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 64.8% in Q4 2022, against a decline of 22.2% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $40.7 million (Q1 2026), $42.47 million (Q4 2025) and $43.46 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 | Westamerica Bancorporation | 1.34 Bn | 1.34 Bn | - | 40.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.79 Mn |
| Mar 31, 2026 | 40.70 Mn |
| Dec 31, 2025 | 42.47 Mn |
| Sep 30, 2025 | 43.46 Mn |
| Jun 30, 2025 | 44.47 Mn |
| Mar 31, 2025 | 47.24 Mn |
| Dec 31, 2024 | 49.35 Mn |
| Sep 30, 2024 | 55.83 Mn |
| Jun 30, 2024 | 56.30 Mn |
| Mar 31, 2024 | 55.41 Mn |
| Dec 31, 2023 | 59.54 Mn |
| Sep 30, 2023 | 61.09 Mn |
| Jun 30, 2023 | 58.06 Mn |
| Mar 31, 2023 | 58.56 Mn |
| Dec 31, 2022 | 57.40 Mn |
| Sep 30, 2022 | 51.08 Mn |
| Jun 30, 2022 | 39.64 Mn |
| Mar 31, 2022 | 35.96 Mn |
| Dec 31, 2021 | 34.84 Mn |
| Sep 30, 2021 | 34.78 Mn |
Westamerica 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=WABC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "WABC", "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=WABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();