Washington Trust Bancorp Inc (WASH) Other Non-Interest Expense (2010 - 2026)
Analysis
Washington Trust Bancorp Inc (WASH) Other Non-Interest Expense (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.96 Mn |
| Mar 31, 2026 | 7.06 Mn |
| Dec 31, 2025 | 7.96 Mn |
| Sep 30, 2025 | 6.71 Mn |
| Jun 30, 2025 | 7.03 Mn |
| Mar 31, 2025 | 13.52 Mn |
| Dec 31, 2024 | 6.18 Mn |
| Sep 30, 2024 | 6.53 Mn |
| Jun 30, 2024 | 6.28 Mn |
| Mar 31, 2024 | 6.10 Mn |
| Dec 31, 2023 | 7.25 Mn |
| Sep 30, 2023 | 6.03 Mn |
| Jun 30, 2023 | 5.97 Mn |
| Mar 31, 2023 | 5.93 Mn |
| Dec 31, 2022 | 6.73 Mn |
| Sep 30, 2022 | 6.15 Mn |
| Jun 30, 2022 | 5.57 Mn |
| Mar 31, 2022 | 5.30 Mn |
| Dec 31, 2021 | 8.67 Mn |
| Sep 30, 2021 | 5.22 Mn |
API Access
Washington Trust Bancorp Inc Other Non-Interest Expense 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=other-non-interest-expense&ticker=WASH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-interest-expense", "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=other-non-interest-expense&ticker=WASH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();