Franklin Financial Services (FRAF) EBITDA Margin (2009 - 2026)
Franklin Financial Services (FRAF) recorded EBITDA Margin of 74.92% in Q2 2026, down 11.12 percentage points from 86.04% a year earlier and down 0.76 percentage points from the prior quarter.
Franklin Financial Services (FRAF) EBITDA Margin (2009 - 2026) Analysis & Trends
On a TTM basis, Franklin Financial Services' EBITDA Margin came in at 77.81% as of Jun 30, 2026, down 7.36 percentage points year-over-year; for FY2025, it came in at 82.51%, down 0.90 percentage points from FY2024.
- Annual EBITDA Margin has a five-year change of +50.29 percentage points (FY2020 to FY2025).
- Across earlier years, EBITDA Margin came in at 83.41% in FY2024 (+23.64 pp), 59.77% in FY2023 (+24.11 pp), 35.65% in FY2022 (-6.66 pp) and 42.32% in FY2021 (+10.10 pp).
- The Q2 2026 figure is the lowest quarterly EBITDA Margin since Q4 2023.
- On a year-over-year basis, EBITDA Margin has declined for four consecutive quarters, with an average year-over-year change of +1.93 percentage points over the last eight quarters.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 35.22 percentage points in Q1 2024, against a drop of 15.78 percentage points in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 75.68% (Q1 2026), 79.15% (Q4 2025) and 81.72% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 97.78% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 91.48% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 100.96% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 139.87% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 142.21% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 92.97% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Franklin Financial Services | 315.86 Mn | -401.27 Mn | - | 81.15% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 81.15% |
| Jun 30, 2026 | 74.92% |
| Mar 31, 2026 | 75.68% |
| Dec 31, 2025 | 79.15% |
| Sep 30, 2025 | 81.72% |
| Jun 30, 2025 | 86.04% |
| Mar 31, 2025 | 83.36% |
| Dec 31, 2024 | 83.48% |
| Sep 30, 2024 | 87.37% |
| Jun 30, 2024 | 79.25% |
| Mar 31, 2024 | 83.48% |
| Dec 31, 2023 | 67.74% |
| Sep 30, 2023 | 65.59% |
| Jun 30, 2023 | 56.07% |
| Mar 31, 2023 | 48.26% |
| Dec 31, 2022 | 39.29% |
| Sep 30, 2022 | 39.61% |
| Jun 30, 2022 | 32.22% |
| Mar 31, 2022 | 30.15% |
| Dec 31, 2021 | 32.67% |
Franklin Financial Services EBITDA Margin 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-margin&ticker=FRAF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=FRAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();