TFS Financial (TFSL) Revenue (2009 - 2026)
TFS Financial's Revenue came in at $89.27 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 8.8% from $82.04 million a year earlier and up 4.7% from the prior quarter.
TFS Financial (TFSL) Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, TFS Financial reported Revenue of $343.73 million, up 10.5% year-over-year; for FY2025 (ended Sep 30, 2025), it was $321.47 million, up 6.0% from FY2024.
- Revenue carries a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- Going back by fiscal year, Revenue was $303.16 million in FY2024 (-0.6%), $305 million in FY2023 (+4.7%), $291.2 million in FY2022 (+1.5%) and $286.93 million in FY2021 (-2.9%).
- The fiscal Q3 2026 figure represents the highest quarterly Revenue in data going back to fiscal Q3 2009.
- Year-over-year, Revenue has increased for six consecutive quarters, with growth averaging 6.5% over the last eight quarters.
- The fastest year-over-year change in Revenue over five years came in fiscal Q1 2023 (growth of 21.7%), and the weakest in fiscal Q1 2022 (a decline of 17.7%).
- Business Quant data shows TFSL's Revenue at $85.24 million (Q2 2026), $83.73 million (Q1 2026) and $85.48 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 57.35 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 31.56 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 21.35 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 13.30 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 20.34 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 22.62 Bn |
| 10 | TFS Financial | 4.54 Bn | 4.54 Bn | - | 89.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 89.27 Mn |
| Mar 31, 2026 | 85.24 Mn |
| Dec 31, 2025 | 83.73 Mn |
| Sep 30, 2025 | 85.48 Mn |
| Jun 30, 2025 | 82.04 Mn |
| Mar 31, 2025 | 79.12 Mn |
| Dec 31, 2024 | 74.83 Mn |
| Sep 30, 2024 | 75.14 Mn |
| Jun 30, 2024 | 75.52 Mn |
| Mar 31, 2024 | 77.10 Mn |
| Dec 31, 2023 | 75.41 Mn |
| Sep 30, 2023 | 75.46 Mn |
| Jun 30, 2023 | 74.62 Mn |
| Mar 31, 2023 | 74.60 Mn |
| Dec 31, 2022 | 80.31 Mn |
| Sep 30, 2022 | 79.89 Mn |
| Jun 30, 2022 | 76.98 Mn |
| Mar 31, 2022 | 68.33 Mn |
| Dec 31, 2021 | 66.00 Mn |
| Sep 30, 2021 | 66.08 Mn |
TFS Financial Revenue 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=revenue&ticker=TFSL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=TFSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();