Franklin Financial Services (FRAF) Retained Earnings (2010 - 2026)
Franklin Financial Services (FRAF) posted Retained Earnings of $165.09 million for Q2 2026, up 12.8% from $146.4 million a year earlier and up 3.2% from the prior quarter.
Franklin Financial Services (FRAF) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Franklin Financial Services' Retained Earnings came in at $154.84 million, up 11.0% from FY2024.
- Annual Retained Earnings has increased for eight consecutive years, with a five-year compound annual growth rate of 8.6% (FY2020 to FY2025).
- In prior years, Franklin Financial Services' Retained Earnings was $139.46 million in FY2024 (+4.1%), $133.99 million in FY2023 (+6.4%), $125.89 million in FY2022 (+8.0%) and $116.61 million in FY2021 (+13.7%).
- The Q2 2026 figure stands as the highest quarterly Retained Earnings in data going back to Q4 2010.
- On a year-over-year basis, Retained Earnings has increased in each of the last 31 quarters, with growth averaging 8.1% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 4.1% (Q4 2024) and 15.2% (Q3 2021) over the last five years.
- According to Business Quant data, Retained Earnings for the three prior quarters was $160 million (Q1 2026), $154.84 million (Q4 2025) and $150.28 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 237.23 Bn |
| 10 | Franklin Financial Services | 281.98 Mn | -439.69 Mn | - | 165.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 165.09 Mn |
| Mar 31, 2026 | 160.00 Mn |
| Dec 31, 2025 | 154.84 Mn |
| Sep 30, 2025 | 150.28 Mn |
| Jun 30, 2025 | 146.40 Mn |
| Mar 31, 2025 | 141.97 Mn |
| Dec 31, 2024 | 139.46 Mn |
| Sep 30, 2024 | 140.39 Mn |
| Jun 30, 2024 | 137.58 Mn |
| Mar 31, 2024 | 135.96 Mn |
| Dec 31, 2023 | 133.99 Mn |
| Sep 30, 2023 | 131.92 Mn |
| Jun 30, 2023 | 129.45 Mn |
| Mar 31, 2023 | 127.88 Mn |
| Dec 31, 2022 | 125.89 Mn |
| Sep 30, 2022 | 123.58 Mn |
| Jun 30, 2022 | 120.35 Mn |
| Mar 31, 2022 | 118.20 Mn |
| Dec 31, 2021 | 116.61 Mn |
| Sep 30, 2021 | 114.38 Mn |
Franklin Financial Services Retained Earnings 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=retained-earnings&ticker=FRAF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=FRAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();