Timberland Bancorp (TSBK) Return on Sales [ROS] (2010 - 2026)
Timberland Bancorp's Return on Sales [ROS] was 52.08% in fiscal Q1 2021 (quarter ended Dec 31, 2020), up 1.95 percentage points from 50.14% a year earlier.
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Analysis
Timberland Bancorp (TSBK) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Timberland Bancorp's Return on Sales [ROS] was 50.21% through Dec 31, 2020, up 5.23 percentage points year-over-year.
- The fiscal Q1 2021 figure marks the highest quarterly Return on Sales [ROS] in data going back to fiscal Q3 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 48.15% |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 138.04% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 139.33% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 84.54% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 51.45% |
| 10 | Timberland Bancorp | 375.82 Mn | 375.82 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 80.36% |
| Mar 31, 2026 | 78.76% |
| Dec 31, 2025 | 85.49% |
| Sep 30, 2025 | 82.37% |
| Jun 30, 2025 | 82.02% |
| Mar 31, 2025 | 80.96% |
| Dec 31, 2024 | 85.73% |
| Jun 30, 2024 | 83.20% |
| Mar 31, 2024 | -42.64% |
| Sep 30, 2023 | 65.79% |
| Jun 30, 2023 | 57.55% |
| Dec 31, 2022 | -48.75% |
| Jun 30, 2022 | 45.98% |
| Mar 31, 2022 | 45.51% |
| Dec 31, 2021 | 46.60% |
| Sep 30, 2021 | 49.60% |
| Jun 30, 2021 | 54.63% |
| Dec 31, 2020 | 52.08% |
| Sep 30, 2020 | 52.60% |
| Jun 30, 2020 | 49.84% |
API Access
Timberland Bancorp 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=TSBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "TSBK", "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=TSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();