Franklin Financial Services Corp /Pa/ (FRAF) Professional Fees (2010 - 2026)
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Analysis
Franklin Financial Services Corp /Pa/ (FRAF) Professional Fees (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 556,000.00 |
| Mar 31, 2026 | 695,000.00 |
| Dec 31, 2025 | 780,000.00 |
| Sep 30, 2025 | 680,000.00 |
| Jun 30, 2025 | 537,000.00 |
| Mar 31, 2025 | 527,000.00 |
| Dec 31, 2024 | 612,000.00 |
| Sep 30, 2024 | 490,000.00 |
| Jun 30, 2024 | 515,000.00 |
| Mar 31, 2024 | 516,000.00 |
| Dec 31, 2023 | 708,000.00 |
| Sep 30, 2023 | 588,000.00 |
| Jun 30, 2023 | 454,000.00 |
| Mar 31, 2023 | 552,000.00 |
| Dec 31, 2022 | 622,000.00 |
| Sep 30, 2022 | 581,000.00 |
| Jun 30, 2022 | 484,000.00 |
| Mar 31, 2022 | 515,000.00 |
| Dec 31, 2021 | 461,000.00 |
| Sep 30, 2021 | 579,000.00 |
API Access
Franklin Financial Services 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=FRAF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "FRAF", "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=FRAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();