Franklin Financial Services (FRAF) Change in Net Loans (2009 - 2026)
Franklin Financial Services (FRAF) posted Change in Net Loans of $38.78 million for Q2 2026, down 38.5% from $63.02 million a year earlier but up 233.1% from the prior quarter.
Franklin Financial Services (FRAF) Change in Net Loans (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Net Loans at Franklin Financial Services was $108.45 million, down 46.1% year-over-year; for FY2025, it came in at $179.18 million, up 26.5% from FY2024.
- Annual Change in Net Loans shows a five-year compound annual growth rate of 18.3% (FY2020 to FY2025).
- In prior years, Franklin Financial Services' Change in Net Loans was $141.65 million in FY2024 (-31.2%), $205.94 million in FY2023 (+321.4%), $48.87 million in FY2022 and -$12.55 million in FY2021.
- Quarterly Change in Net Loans has run from a low of -$18.79 million in Q4 2021 to a high of $67.76 million in Q2 2023 over five years.
- On a year-over-year basis, Change in Net Loans has declined in each of the last four quarters, with an average decline of 0.6% over the last eight quarters.
- The strongest year-over-year quarter for Change in Net Loans in the past five years was Q3 2023, with growth of 335.7%; the weakest was Q1 2026, with a decline of 80.0%.
- According to Business Quant data, Change in Net Loans for the three prior quarters was $11.64 million (Q1 2026), $13.2 million (Q4 2025) and $44.83 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 56.27 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 8.09 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 14.56 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 20.45 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Franklin Financial Services | 315.86 Mn | -401.27 Mn | - | 13.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 13.45 Mn |
| Jun 30, 2026 | 38.78 Mn |
| Mar 31, 2026 | 11.64 Mn |
| Dec 31, 2025 | 13.20 Mn |
| Sep 30, 2025 | 44.83 Mn |
| Jun 30, 2025 | 63.02 Mn |
| Mar 31, 2025 | 58.14 Mn |
| Dec 31, 2024 | 32.52 Mn |
| Sep 30, 2024 | 47.71 Mn |
| Jun 30, 2024 | 40.80 Mn |
| Mar 31, 2024 | 20.62 Mn |
| Dec 31, 2023 | 50.26 Mn |
| Sep 30, 2023 | 61.26 Mn |
| Jun 30, 2023 | 67.76 Mn |
| Mar 31, 2023 | 26.65 Mn |
| Dec 31, 2022 | -1.02 Mn |
| Sep 30, 2022 | 14.06 Mn |
| Jun 30, 2022 | 33.85 Mn |
| Mar 31, 2022 | 1.98 Mn |
| Dec 31, 2021 | -18.79 Mn |
Franklin Financial Services Change in Net Loans 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=change-in-net-loans&ticker=FRAF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=FRAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();