Washington Trust Bancorp (WASH) Revenue (2010 - 2026)
Washington Trust Bancorp (WASH) posted Revenue of $60.47 million for Q2 2026, up 11.4% from $54.26 million a year earlier and up 4.6% from the prior quarter.
Washington Trust Bancorp (WASH) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Washington Trust Bancorp was $234.01 million, up 100.2% year-over-year; for FY2025, it came in at $229.05 million, up 127.6% from FY2024.
- Annual Revenue shows a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- In prior years, Washington Trust Bancorp's Revenue was $100.65 million in FY2024 (-47.9%), $193.24 million in FY2023 (-11.6%), $218.59 million in FY2022 (-4.5%) and $228.83 million in FY2021 (+0.9%).
- The Q2 2026 figure stands as the highest quarterly Revenue in data going back to Q2 2010.
- On a year-over-year basis, Revenue increased in four of the last six quarters, with growth averaging 9.7%.
- The strongest year-over-year quarter for Revenue in the past five years was Q1 2025, with growth of 21.0%; the weakest was Q4 2023, with a decline of 16.6%.
- According to Business Quant data, Revenue for the three prior quarters was $57.83 million (Q1 2026), $59.25 million (Q4 2025) and $56.47 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 57.35 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 31.56 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 21.35 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 13.30 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 | - | 20.34 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 22.62 Bn |
| 10 | Washington Trust Bancorp | 724.50 Mn | 674.58 Mn | - | 60.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.47 Mn |
| Mar 31, 2026 | 57.83 Mn |
| Dec 31, 2025 | 59.25 Mn |
| Sep 30, 2025 | 56.47 Mn |
| Jun 30, 2025 | 54.26 Mn |
| Mar 31, 2025 | 59.07 Mn |
| Dec 31, 2024 | -44.96 Mn |
| Sep 30, 2024 | 48.53 Mn |
| Jun 30, 2024 | 48.25 Mn |
| Mar 31, 2024 | 48.83 Mn |
| Dec 31, 2023 | 45.96 Mn |
| Sep 30, 2023 | 48.98 Mn |
| Jun 30, 2023 | 47.83 Mn |
| Mar 31, 2023 | 50.48 Mn |
| Dec 31, 2022 | 55.13 Mn |
| Sep 30, 2022 | 57.85 Mn |
| Jun 30, 2022 | 53.37 Mn |
| Mar 31, 2022 | 52.25 Mn |
| Dec 31, 2021 | 58.05 Mn |
| Sep 30, 2021 | 56.59 Mn |
Washington Trust Bancorp Revenue 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=revenue&ticker=WASH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "ticker": "WASH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=revenue&ticker=WASH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();