First Busey Corp /Nv/ (BUSE) Provision for Credit Losses (2010 - 2026)
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Analysis
First Busey Corp /Nv/ (BUSE) Provision for Credit Losses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.19 Mn |
| Mar 31, 2026 | 3.06 Mn |
| Dec 31, 2025 | 2.44 Mn |
| Sep 30, 2025 | -3.31 Mn |
| Jun 30, 2025 | 5.70 Mn |
| Mar 31, 2025 | 45.59 Mn |
| Dec 31, 2024 | 818,000.00 |
| Sep 30, 2024 | 409,000.00 |
| Jun 30, 2024 | 2.28 Mn |
| Mar 31, 2024 | 5.04 Mn |
| Dec 31, 2023 | 916,000.00 |
| Sep 30, 2023 | 364,000.00 |
| Jun 30, 2023 | 627,000.00 |
| Mar 31, 2023 | 953,000.00 |
| Dec 31, 2022 | 859,000.00 |
| Sep 30, 2022 | 2.36 Mn |
| Jun 30, 2022 | 1.65 Mn |
| Mar 31, 2022 | -253,000.00 |
| Dec 31, 2021 | -4.74 Mn |
| Sep 30, 2021 | -1.87 Mn |
API Access
First Busey Corp /Nv/ Provision for Credit 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-credit-losses&ticker=BUSE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "ticker": "BUSE", "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-credit-losses&ticker=BUSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();