Fnb Corp/Pa/ (FNB) Professional Fees (2009 - 2026)
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Analysis
Fnb Corp/Pa/ (FNB) Professional Fees (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.00 Mn |
| Mar 31, 2026 | 26.00 Mn |
| Dec 31, 2025 | 30.00 Mn |
| Sep 30, 2025 | 26.00 Mn |
| Jun 30, 2025 | 26.00 Mn |
| Mar 31, 2025 | 26.00 Mn |
| Dec 31, 2024 | 26.00 Mn |
| Sep 30, 2024 | 24.00 Mn |
| Jun 30, 2024 | 23.00 Mn |
| Mar 31, 2024 | 23.00 Mn |
| Dec 31, 2023 | 23.00 Mn |
| Sep 30, 2023 | 21.00 Mn |
| Jun 30, 2023 | 20.00 Mn |
| Mar 31, 2023 | 20.00 Mn |
| Dec 31, 2022 | 20.00 Mn |
| Sep 30, 2022 | 19.00 Mn |
| Jun 30, 2022 | 17.00 Mn |
| Mar 31, 2022 | 17.00 Mn |
| Dec 31, 2021 | 17.00 Mn |
| Sep 30, 2021 | 18.00 Mn |
API Access
Fnb Corp/Pa/ 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=FNB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "FNB", "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=FNB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();