TFS Financial (TFSL) Return on Sales [ROS] (2009 - 2026)
TFS Financial (TFSL) reported Return on Sales [ROS] of 178.56% for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 3.33 percentage points from 175.24% a year earlier and up 5.52 percentage points from the prior quarter.
TFS Financial (TFSL) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, TFS Financial's Return on Sales [ROS] came in at 177.95%, down 6.50 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at 182.04%, down 1.34 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +76.03 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Sales [ROS] came in at 183.38% in FY2024 (+45.11 pp), 138.27% in FY2023 (+57.92 pp), 80.35% in FY2022 (-9.50 pp) and 89.85% in FY2021 (-16.16 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 68.45% in fiscal Q3 2022 and a high of 196.22% in fiscal Q1 2025.
- Year over year, Return on Sales [ROS] gained in three of the last eight quarters, with an average year-over-year change of +0.85 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q3 2023 (a gain of 78.45 percentage points); the low point was fiscal Q4 2021 (a drop of 20.76 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 173.04% (Q2 2026), 179.86% (Q1 2026) and 180.35% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 84.05% |
| 10 | TFS Financial | 4.72 Bn | 4.72 Bn | - | 178.56% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 178.56% |
| Mar 31, 2026 | 173.04% |
| Dec 31, 2025 | 179.86% |
| Sep 30, 2025 | 180.35% |
| Jun 30, 2025 | 175.24% |
| Mar 31, 2025 | 177.50% |
| Dec 31, 2024 | 196.22% |
| Sep 30, 2024 | 190.13% |
| Jun 30, 2024 | 186.53% |
| Mar 31, 2024 | 179.01% |
| Dec 31, 2023 | 177.96% |
| Sep 30, 2023 | 161.48% |
| Jun 30, 2023 | 146.90% |
| Mar 31, 2023 | 131.78% |
| Dec 31, 2022 | 114.47% |
| Sep 30, 2022 | 95.94% |
| Jun 30, 2022 | 68.45% |
| Mar 31, 2022 | 73.28% |
| Dec 31, 2021 | 82.69% |
| Sep 30, 2021 | 86.73% |
TFS Financial Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=TFSL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=TFSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();