TFS Financial (TFSL) EBIT (2009 - 2026)
TFS Financial (TFSL) reported EBIT of $159.41 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 10.9% from $143.77 million a year earlier and up 8.1% from the prior quarter.
TFS Financial (TFSL) EBIT (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, TFS Financial's EBIT came in at $611.68 million, up 6.6% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $585.2 million, up 5.3% from FY2024.
- EBIT has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- By fiscal year, EBIT came in at $555.93 million in FY2024 (+31.8%), $421.72 million in FY2023 (+80.2%), $233.99 million in FY2022 (-9.2%) and $257.82 million in FY2021 (-17.7%).
- The fiscal Q3 2026 figure ranks as the highest quarterly EBIT in data going back to fiscal Q3 2009.
- Year over year, EBIT has now increased in each of the last 16 quarters, with growth averaging 7.1% over the last eight quarters.
- The high point for year-over-year EBIT in five years was fiscal Q3 2023 (growth of 108.0%); the low point was fiscal Q2 2022 (a decline of 27.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $147.51 million (Q2 2026), $150.59 million (Q1 2026) and $154.17 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 52.63 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,140.26 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 29.40 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 20.47 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.35 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 5.11 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 26.66 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 19.01 Bn |
| 10 | TFS Financial | 4.57 Bn | 4.57 Bn | - | 159.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 159.41 Mn |
| Mar 31, 2026 | 147.51 Mn |
| Dec 31, 2025 | 150.59 Mn |
| Sep 30, 2025 | 154.17 Mn |
| Jun 30, 2025 | 143.77 Mn |
| Mar 31, 2025 | 140.43 Mn |
| Dec 31, 2024 | 146.83 Mn |
| Sep 30, 2024 | 142.85 Mn |
| Jun 30, 2024 | 140.86 Mn |
| Mar 31, 2024 | 138.02 Mn |
| Dec 31, 2023 | 134.20 Mn |
| Sep 30, 2023 | 121.86 Mn |
| Jun 30, 2023 | 109.62 Mn |
| Mar 31, 2023 | 98.31 Mn |
| Dec 31, 2022 | 91.93 Mn |
| Sep 30, 2022 | 76.65 Mn |
| Jun 30, 2022 | 52.69 Mn |
| Mar 31, 2022 | 50.08 Mn |
| Dec 31, 2021 | 54.57 Mn |
| Sep 30, 2021 | 57.31 Mn |
TFS Financial EBIT 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=ebit&ticker=TFSL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=TFSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();