Pioneer Bancorp, Inc./MD (PBFS) Provision for Credit Losses (2018 - 2026)
Analysis
Pioneer Bancorp, Inc./MD (PBFS) Provision for Credit Losses (2018 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.35 Mn |
| Mar 31, 2026 | 780,000.00 |
| Dec 31, 2025 | 1.90 Mn |
| Sep 30, 2025 | 800,000.00 |
| Jun 30, 2025 | 1.55 Mn |
| Mar 31, 2025 | 1.07 Mn |
| Sep 30, 2024 | -870,000.00 |
| Jun 30, 2024 | 750,000.00 |
| Mar 31, 2024 | 258,000.00 |
| Dec 31, 2023 | 1.12 Mn |
| Sep 30, 2023 | 916,000.00 |
| Jun 30, 2023 | 280,000.00 |
| Dec 31, 2022 | -400,000.00 |
| Sep 30, 2022 | 120,000.00 |
| Jun 30, 2022 | -800,000.00 |
| Sep 30, 2021 | 250,000.00 |
| Jun 30, 2021 | 500,000.00 |
| Mar 31, 2021 | 1.25 Mn |
| Dec 31, 2020 | 1.55 Mn |
| Sep 30, 2020 | 750,000.00 |
API Access
Pioneer Bancorp, Inc./MD 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=PBFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "ticker": "PBFS", "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=PBFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();