Commerce Bancshares Inc /Mo/ (CBSH) Provision for Losses (2009 - 2026)
Analysis
Commerce Bancshares Inc /Mo/ (CBSH) Provision for Losses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.73 Mn |
| Mar 31, 2026 | 10.96 Mn |
| Dec 31, 2025 | 15.99 Mn |
| Sep 30, 2025 | 20.06 Mn |
| Jun 30, 2025 | 5.60 Mn |
| Mar 31, 2025 | 14.49 Mn |
| Dec 31, 2024 | 13.51 Mn |
| Sep 30, 2024 | 9.14 Mn |
| Jun 30, 2024 | 5.47 Mn |
| Mar 31, 2024 | 4.79 Mn |
| Dec 31, 2023 | 5.88 Mn |
| Sep 30, 2023 | 11.65 Mn |
| Jun 30, 2023 | 6.47 Mn |
| Mar 31, 2023 | 11.46 Mn |
| Dec 31, 2022 | 15.48 Mn |
| Sep 30, 2022 | 15.29 Mn |
| Jun 30, 2022 | 7.16 Mn |
| Mar 31, 2022 | -9.86 Mn |
| Dec 31, 2021 | -7.05 Mn |
| Sep 30, 2021 | -7.39 Mn |
API Access
Commerce Bancshares Inc /Mo/ 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=CBSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "CBSH", "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=CBSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();