Franklin Financial Services Corp /Pa/ (FRAF) Occupancy Expense (2010 - 2026)
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Analysis
Franklin Financial Services Corp /Pa/ (FRAF) Occupancy Expense (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.18 Mn |
| Mar 31, 2026 | 1.24 Mn |
| Dec 31, 2025 | 1.18 Mn |
| Sep 30, 2025 | 1.23 Mn |
| Jun 30, 2025 | 1.15 Mn |
| Mar 31, 2025 | 1.23 Mn |
| Dec 31, 2024 | 1.10 Mn |
| Sep 30, 2024 | 1.15 Mn |
| Jun 30, 2024 | 1.15 Mn |
| Mar 31, 2024 | 1.18 Mn |
| Dec 31, 2023 | 1.08 Mn |
| Sep 30, 2023 | 1.09 Mn |
| Jun 30, 2023 | 1.11 Mn |
| Mar 31, 2023 | 1.11 Mn |
| Dec 31, 2022 | 992,000.00 |
| Sep 30, 2022 | 1.12 Mn |
| Jun 30, 2022 | 979,000.00 |
| Mar 31, 2022 | 974,000.00 |
| Dec 31, 2021 | 905,000.00 |
| Sep 30, 2021 | 908,000.00 |
API Access
Franklin Financial Services Corp /Pa/ Occupancy Expense 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=occupancy-expense&ticker=FRAF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "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=occupancy-expense&ticker=FRAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();