TFS Financial (TFSL) EBITDA (2009 - 2026)
TFS Financial (TFSL) recorded EBITDA of $166.16 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 11.0% from $149.72 million a year earlier and up 8.4% from the prior quarter.
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Analysis
TFS Financial (TFSL) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, TFS Financial's EBITDA came in at $636.77 million as of Jun 30, 2026, up 6.9% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $608.25 million, up 5.8% from FY2024.
- Annual EBITDA has increased for three straight fiscal years, with a five-year compound annual growth rate of 11.9% (FY2020 to FY2025).
- Across earlier fiscal years, EBITDA came in at $574.96 million in FY2024 (+30.7%), $439.83 million in FY2023 (+68.5%), $261.03 million in FY2022 (-10.1%) and $290.38 million in FY2021 (-16.1%).
- The fiscal Q3 2026 figure is the highest quarterly EBITDA in data going back to fiscal Q1 2010.
- On a year-over-year basis, EBITDA has increased for 16 consecutive quarters, with growth averaging 7.4% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 92.4% in fiscal Q3 2023, against a decline of 28.2% in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $153.35 million (Q2 2026), $156.85 million (Q1 2026) and $160.41 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 20.89 Bn |
| 10 | TFS Financial | 4.57 Bn | 4.57 Bn | - | 166.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 166.16 Mn |
| Mar 31, 2026 | 153.35 Mn |
| Dec 31, 2025 | 156.85 Mn |
| Sep 30, 2025 | 160.41 Mn |
| Jun 30, 2025 | 149.72 Mn |
| Mar 31, 2025 | 145.99 Mn |
| Dec 31, 2024 | 152.14 Mn |
| Sep 30, 2024 | 147.81 Mn |
| Jun 30, 2024 | 145.84 Mn |
| Mar 31, 2024 | 142.53 Mn |
| Dec 31, 2023 | 138.78 Mn |
| Sep 30, 2023 | 126.58 Mn |
| Jun 30, 2023 | 114.27 Mn |
| Mar 31, 2023 | 102.83 Mn |
| Dec 31, 2022 | 96.14 Mn |
| Sep 30, 2022 | 82.88 Mn |
| Jun 30, 2022 | 59.39 Mn |
| Mar 31, 2022 | 56.99 Mn |
| Dec 31, 2021 | 61.76 Mn |
| Sep 30, 2021 | 60.77 Mn |
API Access
TFS Financial 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=TFSL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "TFSL", "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=TFSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();