Washington Trust Bancorp Inc (WASH) EPS (Diluted) (2010 - 2026)
Washington Trust Bancorp's EPS (Diluted) was $0.83 in Q2 2026, up 21.7% from $0.68 a year earlier and up 26.6% from the prior quarter.
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Analysis
Washington Trust Bancorp Inc (WASH) EPS (Diluted) (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Washington Trust Bancorp's EPS (Diluted) was $2.88 through Jun 30, 2026; for FY2025, it was $2.71.
- EPS (Diluted) shows a five-year compound annual growth rate of -7.5% (FY2020 to FY2025).
- In earlier years, EPS (Diluted) was -$1.63 in FY2024, $2.82 in FY2023 (-31.5%), $4.11 in FY2022 (-6.3%) and $4.39 in FY2021 (+9.7%).
- The Q2 2026 figure marks the highest quarterly EPS (Diluted) since Q4 2022.
- Compared with a year earlier, EPS (Diluted) was higher in three of the last six quarters, with growth averaging 3.1%.
- The best year-over-year quarter for EPS (Diluted) over five years was Q2 2026 (growth of 21.7%); the worst was Q2 2023 (a decline of 42.3%).
- Per Business Quant data, WASH's EPS (Diluted) in the three quarters before Q2 2026 was $0.66 (Q1 2026), $0.83 (Q4 2025) and $0.56 (Q3 2025).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.83 |
| Mar 31, 2026 | 0.66 |
| Dec 31, 2025 | 0.83 |
| Sep 30, 2025 | 0.56 |
| Jun 30, 2025 | 0.68 |
| Mar 31, 2025 | 0.63 |
| Dec 31, 2024 | -3.54 |
| Sep 30, 2024 | 0.64 |
| Jun 30, 2024 | 0.63 |
| Mar 31, 2024 | 0.64 |
| Dec 31, 2023 | 0.76 |
| Sep 30, 2023 | 0.65 |
| Jun 30, 2023 | 0.66 |
| Mar 31, 2023 | 0.74 |
| Dec 31, 2022 | 0.95 |
| Sep 30, 2022 | 1.08 |
| Jun 30, 2022 | 1.14 |
| Mar 31, 2022 | 0.94 |
| Dec 31, 2021 | 1.15 |
| Sep 30, 2021 | 1.07 |
API Access
Washington Trust Bancorp Inc EPS (Diluted) 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=eps-diluted&ticker=WASH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=WASH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();