Franklin Financial Services Corp /Pa/ (FRAF) Loans - Net (2010 - 2026)
Franklin Financial Services' Loans - Net was $1.59 billion in Q2 2026, up 5.9% from $1.5 billion a year earlier and up 2.4% from the prior quarter.
Franklin Financial Services Corp /Pa/ (FRAF) Loans - Net (2010 - 2026) Analysis & Trends
At the end of FY2025, Loans - Net at Franklin Financial Services came in at $1.54 billion, up 11.6% from FY2024.
- Loans - Net has now increased for four consecutive years, with a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- In earlier years, Loans - Net was $1.38 billion in FY2024 (+11.2%), $1.24 billion in FY2023 (+19.7%), $1.04 billion in FY2022 (+5.4%) and $983.75 million in FY2021 (-0.9%).
- The Q2 2026 figure marks the highest quarterly Loans - Net in data going back to Q4 2010.
- Compared with a year earlier, Loans - Net has increased for 18 straight quarters, with growth averaging 11.7% over the last eight quarters.
- The best year-over-year quarter for Loans - Net over five years was Q4 2023 (growth of 19.7%); the worst was Q4 2021 (a decline of 0.9%).
- Per Business Quant data, FRAF's Loans - Net in the three quarters before Q2 2026 was $1.55 billion (Q1 2026), $1.54 billion (Q4 2025) and $1.54 billion (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.59 Bn |
| Mar 31, 2026 | 1.55 Bn |
| Dec 31, 2025 | 1.54 Bn |
| Sep 30, 2025 | 1.54 Bn |
| Jun 30, 2025 | 1.50 Bn |
| Mar 31, 2025 | 1.44 Bn |
| Dec 31, 2024 | 1.38 Bn |
| Sep 30, 2024 | 1.35 Bn |
| Jun 30, 2024 | 1.30 Bn |
| Mar 31, 2024 | 1.26 Bn |
| Dec 31, 2023 | 1.24 Bn |
| Sep 30, 2023 | 1.19 Bn |
| Jun 30, 2023 | 1.13 Bn |
| Mar 31, 2023 | 1.06 Bn |
| Dec 31, 2022 | 1.04 Bn |
| Sep 30, 2022 | 1.03 Bn |
| Jun 30, 2022 | 1.02 Bn |
| Mar 31, 2022 | 985.93 Mn |
| Dec 31, 2021 | 983.75 Mn |
| Sep 30, 2021 | 1.00 Bn |
Franklin Financial Services Corp /Pa/ Loans - Net 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=loans-net&ticker=FRAF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-net", "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=loans-net&ticker=FRAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();