First National Corp /Va/ (FXNC) Professional Fees (2010 - 2026)
Analysis
First National Corp /Va/ (FXNC) Professional Fees (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 742,000.00 |
| Mar 31, 2026 | 688,000.00 |
| Dec 31, 2025 | 667,000.00 |
| Sep 30, 2025 | 660,000.00 |
| Jun 30, 2025 | 594,000.00 |
| Mar 31, 2025 | 522,000.00 |
| Dec 31, 2024 | -179,000.00 |
| Sep 30, 2024 | 596,000.00 |
| Jun 30, 2024 | 1.12 Mn |
| Mar 31, 2024 | 452,000.00 |
| Dec 31, 2023 | 443,000.00 |
| Sep 30, 2023 | 439,000.00 |
| Jun 30, 2023 | 422,000.00 |
| Mar 31, 2023 | 343,000.00 |
| Dec 31, 2022 | 339,000.00 |
| Sep 30, 2022 | 361,000.00 |
| Jun 30, 2022 | 381,000.00 |
| Mar 31, 2022 | 333,000.00 |
| Dec 31, 2021 | 731,000.00 |
| Sep 30, 2021 | 586,000.00 |
API Access
First National Corp /Va/ 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=FXNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "FXNC", "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=FXNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();