Tyler Technologies (TYL) Return on Sales [ROS] (2010 - 2026)
Tyler Technologies' Return on Sales [ROS] was 14.74% in Q2 2026, down 1.30 percentage points from 16.04% a year earlier and down 1.53 percentage points from the prior quarter.
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Analysis
Tyler Technologies (TYL) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Tyler Technologies' Return on Sales [ROS] was 15.14% through Jun 30, 2026, up 0.03 percentage points year-over-year; for FY2025, it came in at 15.34%, up 1.32 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -0.15 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 14.01% in FY2024 (+2.81 pp), 11.20% in FY2023 (-0.38 pp), 11.58% in FY2022 (+0.23 pp) and 11.35% in FY2021 (-4.14 pp).
- Quarterly Return on Sales [ROS] has moved between 9.00% (Q4 2022) and 16.43% (Q3 2025) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in six of the last eight quarters, with an average year-over-year change of +1.27 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2024 (a gain of 3.54 percentage points); the worst was Q4 2021 (a drop of 5.87 percentage points).
- Per Business Quant data, TYL's Return on Sales [ROS] in the three quarters before Q2 2026 was 16.27% (Q1 2026), 13.04% (Q4 2025) and 16.43% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 34.78% |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -6,808.11% |
| 10 | Tyler Technologies | 15.55 Bn | 12.18 Bn | 307.06 Mn | 14.74% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.74% |
| Mar 31, 2026 | 16.27% |
| Dec 31, 2025 | 13.04% |
| Sep 30, 2025 | 16.43% |
| Jun 30, 2025 | 16.04% |
| Mar 31, 2025 | 15.78% |
| Dec 31, 2024 | 13.25% |
| Sep 30, 2024 | 15.24% |
| Jun 30, 2024 | 14.42% |
| Mar 31, 2024 | 13.07% |
| Dec 31, 2023 | 9.93% |
| Sep 30, 2023 | 12.92% |
| Jun 30, 2023 | 12.27% |
| Mar 31, 2023 | 9.53% |
| Dec 31, 2022 | 9.00% |
| Sep 30, 2022 | 12.87% |
| Jun 30, 2022 | 12.11% |
| Mar 31, 2022 | 12.25% |
| Dec 31, 2021 | 11.08% |
| Sep 30, 2021 | 12.22% |
API Access
Tyler Technologies 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=TYL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "TYL", "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=TYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();