Franklin Financial Services (FRAF) Provision for Losses (2009 - 2026)
Franklin Financial Services' Provision for Losses was -$867,000 in Q3 2026, compared with $1.25 million a year earlier.
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Analysis
Franklin Financial Services (FRAF) Provision for Losses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Franklin Financial Services' Provision for Losses was $1.32 million through Sep 30, 2026, down 58.7% year-over-year; for FY2025, it came in at $3.03 million, up 52.8% from FY2024.
- Provision for Losses shows a five-year compound annual growth rate of -8.1% (FY2020 to FY2025).
- In earlier years, Provision for Losses was $1.98 million in FY2024 (-27.2%), $2.72 million in FY2023 (+319.1%), $650,000 in FY2022 and -$2.1 million in FY2021.
- The Q3 2026 figure marks the lowest quarterly Provision for Losses since Q2 2021.
- Compared with a year earlier, Provision for Losses was higher in four of the last seven quarters, with growth averaging 33.3%.
- The best year-over-year quarter for Provision for Losses over five years was Q2 2023 (growth of 867.3%); the worst was Q1 2026 (a decline of 71.6%).
- Per Business Quant data, FRAF's Provision for Losses in the three quarters before Q3 2026 was $1.64 million (Q2 2026), $221,000 (Q1 2026) and $326,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.30 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Franklin Financial Services | 315.86 Mn | -401.27 Mn | - | -867,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -867,000.00 |
| Jun 30, 2026 | 1.64 Mn |
| Mar 31, 2026 | 221,000.00 |
| Dec 31, 2025 | 326,000.00 |
| Sep 30, 2025 | 1.25 Mn |
| Jun 30, 2025 | 704,000.00 |
| Mar 31, 2025 | 779,000.00 |
| Dec 31, 2024 | 459,000.00 |
| Sep 30, 2024 | 485,000.00 |
| Jun 30, 2024 | 560,000.00 |
| Mar 31, 2024 | 490,000.00 |
| Dec 31, 2023 | 788,000.00 |
| Sep 30, 2023 | 875,000.00 |
| Jun 30, 2023 | 532,000.00 |
| Mar 31, 2023 | 529,000.00 |
| Dec 31, 2022 | 604,000.00 |
| Sep 30, 2022 | -4,000.00 |
| Jun 30, 2022 | 55,000.00 |
| Mar 31, 2022 | -10,000.00 |
| Dec 31, 2021 | -200,000.00 |
API Access
Franklin Financial Services Provision for Losses 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=provision-for-losses&ticker=FRAF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=FRAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();