United Bankshares Inc/Wv (UBSI) Provision for Losses (2012 - 2025)
Analysis
United Bankshares Inc/Wv (UBSI) Provision for Losses (2012 - 2025) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 6.78 Mn |
| Sep 30, 2025 | 12.10 Mn |
| Jun 30, 2025 | 5.89 Mn |
| Mar 31, 2025 | 29.10 Mn |
| Dec 31, 2024 | 6.69 Mn |
| Sep 30, 2024 | 6.94 Mn |
| Jun 30, 2024 | 5.78 Mn |
| Mar 31, 2024 | 5.74 Mn |
| Dec 31, 2023 | 6.88 Mn |
| Sep 30, 2023 | 5.95 Mn |
| Jun 30, 2023 | 11.44 Mn |
| Mar 31, 2023 | 6.89 Mn |
| Dec 31, 2022 | 16.37 Mn |
| Sep 30, 2022 | 7.67 Mn |
| Jun 30, 2022 | -1.81 Mn |
| Mar 31, 2022 | -3.41 Mn |
| Dec 31, 2021 | -7.41 Mn |
| Sep 30, 2021 | -7.83 Mn |
| Jun 30, 2021 | -8.88 Mn |
| Mar 31, 2021 | 143,000.00 |
API Access
United Bankshares Inc/Wv Provision for Losses 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=provision-for-losses&ticker=UBSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "UBSI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=provision-for-losses&ticker=UBSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();