Franklin Financial Services (FRAF) EBITDA (2012 - 2026)
Franklin Financial Services (FRAF) recorded EBITDA of $18.35 million in Q2 2026, down 4.5% from $19.21 million a year earlier but up 1.5% from the prior quarter.
Franklin Financial Services (FRAF) EBITDA (2012 - 2026) Analysis & Trends
On a TTM basis, Franklin Financial Services' EBITDA came in at $73.54 million as of Jun 30, 2026, up 11.6% year-over-year; for FY2025, it was $73.14 million, up 23.2% from FY2024.
- Annual EBITDA has increased for three straight years, with a five-year compound annual growth rate of 31.8% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $59.34 million in FY2024 (+45.1%), $40.89 million in FY2023 (+71.9%), $23.8 million in FY2022 (-12.3%) and $27.12 million in FY2021 (+47.7%).
- Quarterly EBITDA has ranged from $4.42 million in Q1 2022 to $19.21 million in Q2 2025 over the past five years.
- On a year-over-year basis, EBITDA rose in seven of the last eight quarters, with growth averaging 19.1%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 91.2% in Q1 2024, against a decline of 34.8% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $18.07 million (Q1 2026), $18.45 million (Q4 2025) and $18.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 20.89 Bn |
| 10 | Franklin Financial Services | 281.98 Mn | -439.69 Mn | - | 18.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.35 Mn |
| Mar 31, 2026 | 18.07 Mn |
| Dec 31, 2025 | 18.45 Mn |
| Sep 30, 2025 | 18.68 Mn |
| Jun 30, 2025 | 19.21 Mn |
| Mar 31, 2025 | 16.80 Mn |
| Dec 31, 2024 | 12.83 Mn |
| Sep 30, 2024 | 17.03 Mn |
| Jun 30, 2024 | 14.70 Mn |
| Mar 31, 2024 | 14.80 Mn |
| Dec 31, 2023 | 12.18 Mn |
| Sep 30, 2023 | 11.61 Mn |
| Jun 30, 2023 | 9.37 Mn |
| Mar 31, 2023 | 7.74 Mn |
| Dec 31, 2022 | 7.15 Mn |
| Sep 30, 2022 | 7.01 Mn |
| Jun 30, 2022 | 5.21 Mn |
| Mar 31, 2022 | 4.42 Mn |
| Dec 31, 2021 | 5.22 Mn |
| Sep 30, 2021 | 7.78 Mn |
Franklin Financial Services EBITDA 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=ebitda&ticker=FRAF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=FRAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();