Franklin Financial Services (FRAF) Tax Provisions (2009 - 2026)
Franklin Financial Services (FRAF) posted Tax Provisions of $2.12 million for Q3 2026, up 62.7% from $1.3 million a year earlier and up 29.6% from the prior quarter.
Franklin Financial Services (FRAF) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Tax Provisions at Franklin Financial Services was $6.87 million, up 87.4% year-over-year; for FY2025, it was $5.04 million, up 127.5% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of 81.2% (FY2020 to FY2025).
- In prior years, Franklin Financial Services' Tax Provisions was $2.22 million in FY2024 (+2.8%), $2.16 million in FY2023 (-15.7%), $2.56 million in FY2022 (-24.7%) and $3.4 million in FY2021.
- The Q3 2026 figure stands as the highest quarterly Tax Provisions in data going back to Q1 2014.
- On a year-over-year basis, Tax Provisions has increased in each of the last three quarters, with growth averaging 40.1% over the last seven quarters.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q1 2024, with growth of 190.1%; the weakest was Q4 2024, with a decline of 89.3%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $1.64 million (Q2 2026), $1.67 million (Q1 2026) and $1.44 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 4.83 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 2.03 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | -2.06 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 1.51 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 1.24 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 1.71 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.16 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 1.70 Bn |
| 10 | Franklin Financial Services | 315.86 Mn | -401.27 Mn | - | 2.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.12 Mn |
| Jun 30, 2026 | 1.64 Mn |
| Mar 31, 2026 | 1.67 Mn |
| Dec 31, 2025 | 1.44 Mn |
| Sep 30, 2025 | 1.30 Mn |
| Jun 30, 2025 | 1.41 Mn |
| Mar 31, 2025 | 890,000.00 |
| Dec 31, 2024 | 62,000.00 |
| Sep 30, 2024 | 885,000.00 |
| Jun 30, 2024 | 646,000.00 |
| Mar 31, 2024 | 644,000.00 |
| Dec 31, 2023 | 578,000.00 |
| Sep 30, 2023 | 788,000.00 |
| Jun 30, 2023 | 568,000.00 |
| Mar 31, 2023 | 222,000.00 |
| Dec 31, 2022 | 652,000.00 |
| Sep 30, 2022 | 895,000.00 |
| Jun 30, 2022 | 595,000.00 |
| Mar 31, 2022 | 414,000.00 |
| Dec 31, 2021 | 565,000.00 |
Franklin Financial Services Tax Provisions 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=tax-provisions&ticker=FRAF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=FRAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();