Franklin Financial Services (FRAF) Loans - Loss Allowance (2010 - 2026)
Franklin Financial Services' Loans - Loss Allowance was $21.86 million in Q2 2026, up 14.3% from $19.12 million a year earlier and up 5.5% from the prior quarter.
Franklin Financial Services (FRAF) Loans - Loss Allowance (2010 - 2026) Analysis & Trends
At the end of FY2025, Loans - Loss Allowance at Franklin Financial Services came in at $20.66 million, up 17.0% from FY2024.
- Loans - Loss Allowance has now increased for three consecutive years, with a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- In earlier years, Loans - Loss Allowance was $17.65 million in FY2024 (+10.0%), $16.05 million in FY2023 (+13.2%), $14.18 million in FY2022 (-5.9%) and $15.07 million in FY2021 (-10.3%).
- The Q2 2026 figure marks the highest quarterly Loans - Loss Allowance in data going back to Q4 2010.
- Compared with a year earlier, Loans - Loss Allowance has increased for 12 straight quarters, with growth averaging 13.3% over the last eight quarters.
- The best year-over-year quarter for Loans - Loss Allowance over five years was Q1 2024 (growth of 17.2%); the worst was Q3 2021 (a decline of 10.4%).
- Per Business Quant data, FRAF's Loans - Loss Allowance in the three quarters before Q2 2026 was $20.73 million (Q1 2026), $20.66 million (Q4 2025) and $20.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Loss Allowance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 26.15 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 347,603.00 |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 13.11 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | -5.33 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | -331.64 Mn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 13.91 Bn |
| 10 | Franklin Financial Services | 280.72 Mn | -440.95 Mn | - | 21.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.86 Mn |
| Mar 31, 2026 | 20.73 Mn |
| Dec 31, 2025 | 20.66 Mn |
| Sep 30, 2025 | 20.35 Mn |
| Jun 30, 2025 | 19.12 Mn |
| Mar 31, 2025 | 18.44 Mn |
| Dec 31, 2024 | 17.65 Mn |
| Sep 30, 2024 | 17.51 Mn |
| Jun 30, 2024 | 17.02 Mn |
| Mar 31, 2024 | 16.53 Mn |
| Dec 31, 2023 | 16.05 Mn |
| Sep 30, 2023 | 15.53 Mn |
| Jun 30, 2023 | 14.62 Mn |
| Mar 31, 2023 | 14.11 Mn |
| Dec 31, 2022 | 14.18 Mn |
| Sep 30, 2022 | 14.99 Mn |
| Jun 30, 2022 | 15.02 Mn |
| Mar 31, 2022 | 15.05 Mn |
| Dec 31, 2021 | 15.07 Mn |
| Sep 30, 2021 | 15.37 Mn |
Franklin Financial Services Loans - Loss Allowance 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-loss-allowance&ticker=FRAF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-loss-allowance", "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-loss-allowance&ticker=FRAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();