Pioneer Bancorp, Inc./MD (PBFS) Professional Fees (2018 - 2026)
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Analysis
Pioneer Bancorp, Inc./MD (PBFS) Professional Fees (2018 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.03 Mn |
| Mar 31, 2026 | 4.65 Mn |
| Dec 31, 2025 | 3.03 Mn |
| Sep 30, 2025 | 1.93 Mn |
| Jun 30, 2025 | 1.85 Mn |
| Mar 31, 2025 | 1.94 Mn |
| Sep 30, 2024 | 1.95 Mn |
| Jun 30, 2024 | 2.54 Mn |
| Mar 31, 2024 | 3.10 Mn |
| Dec 31, 2023 | 2.84 Mn |
| Sep 30, 2023 | 2.59 Mn |
| Jun 30, 2023 | 1.67 Mn |
| Mar 31, 2023 | 1.20 Mn |
| Dec 31, 2022 | 1.10 Mn |
| Sep 30, 2022 | 773,000.00 |
| Jun 30, 2022 | 1.12 Mn |
| Mar 31, 2022 | 850,000.00 |
| Dec 31, 2021 | 699,000.00 |
| Sep 30, 2021 | 847,000.00 |
| Jun 30, 2021 | 865,000.00 |
API Access
Pioneer Bancorp, Inc./MD Professional Fees 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=professional-fees&ticker=PBFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=PBFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();