Tompkins Financial (TMP) Return on Sales [ROS] (2010 - 2026)
Tompkins Financial (TMP) reported Return on Sales [ROS] of 80.93% for Q2 2026, up 6.21 percentage points from 74.73% a year earlier and up 2.94 percentage points from the prior quarter.
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Analysis
Tompkins Financial (TMP) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Tompkins Financial's Return on Sales [ROS] came in at 82.24%, up 6.69 percentage points year-over-year; for FY2025, it came in at 79.98%, up 3.30 percentage points from FY2024.
- Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +37.65 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 76.68% in FY2024 (+31.19 pp), 45.49% in FY2023 (+3.07 pp), 42.42% in FY2022 (-1.23 pp) and 43.65% in FY2021 (+1.32 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -182.93% in Q3 2023 and a high of 88.06% in Q4 2025.
- Year over year, Return on Sales [ROS] has now increased in each of the last three quarters, with an average year-over-year change of +36.08 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2024 (a gain of 261.88 percentage points); the low point was Q3 2023 (a drop of 225.70 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 77.99% (Q1 2026), 88.06% (Q4 2025) and 74.66% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 91.77% |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 93.16% |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 46.36% |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 95.89% |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 138.04% |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 131.07% |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 51.45% |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 84.05% |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 6.25% |
| 10 | Tompkins Financial | 1.45 Bn | 1.45 Bn | - | 80.93% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 80.93% |
| Mar 31, 2026 | 77.99% |
| Dec 31, 2025 | 88.06% |
| Sep 30, 2025 | 74.66% |
| Jun 30, 2025 | 74.73% |
| Mar 31, 2025 | 71.73% |
| Dec 31, 2024 | 77.13% |
| Sep 30, 2024 | 78.96% |
| Jun 30, 2024 | 75.49% |
| Mar 31, 2024 | 75.00% |
| Dec 31, 2023 | 65.40% |
| Sep 30, 2023 | -182.93% |
| Jun 30, 2023 | 46.91% |
| Mar 31, 2023 | 53.99% |
| Dec 31, 2022 | 45.33% |
| Sep 30, 2022 | 42.77% |
| Jun 30, 2022 | 38.75% |
| Mar 31, 2022 | 42.88% |
| Dec 31, 2021 | 35.99% |
| Sep 30, 2021 | 42.91% |
API Access
Tompkins 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=TMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "TMP", "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=TMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();