Tyler Technologies (TYL) Return on Capital Employed [ROCE] (2011 - 2026)
Tyler Technologies (TYL) recorded Return on Capital Employed [ROCE] of 8.63% in Q3 2026, down 0.82 percentage points from 9.45% a year earlier and down 0.26 percentage points from the prior quarter.
Tyler Technologies (TYL) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Tyler Technologies reported Return on Capital Employed [ROCE] of 9.79%, up 2.03 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has increased for three straight years, with a five-year change of +0.37 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at 7.75% in FY2024 (+1.82 pp), 5.94% in FY2023 (+0.33 pp), 5.61% in FY2022 (-0.75 pp) and 6.36% in FY2021 (-3.06 pp).
- The Q3 2026 figure is the lowest quarterly Return on Capital Employed [ROCE] since Q4 2024.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined for three consecutive quarters, with an average year-over-year change of +1.18 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 2.50 percentage points in Q1 2025, against a drop of 4.05 percentage points in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 8.89% (Q2 2026), 8.81% (Q1 2026) and 9.43% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 30.95% |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 9.81% |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 34.05% |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 10.68% |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | -53.96% |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 7.48% |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 21.09% |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | -30.53% |
| 10 | Tyler Technologies | 17.03 Bn | 13.73 Bn | 318.21 Mn | 8.63% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.63% |
| Jun 30, 2026 | 8.89% |
| Mar 31, 2026 | 8.81% |
| Dec 31, 2025 | 9.43% |
| Sep 30, 2025 | 9.45% |
| Jun 30, 2025 | 9.33% |
| Mar 31, 2025 | 8.88% |
| Dec 31, 2024 | 7.45% |
| Sep 30, 2024 | 7.09% |
| Jun 30, 2024 | 6.89% |
| Mar 31, 2024 | 6.38% |
| Dec 31, 2023 | 5.98% |
| Sep 30, 2023 | 5.67% |
| Jun 30, 2023 | 5.57% |
| Mar 31, 2023 | 5.37% |
| Dec 31, 2022 | 5.65% |
| Sep 30, 2022 | 5.65% |
| Jun 30, 2022 | 5.53% |
| Mar 31, 2022 | 5.01% |
| Dec 31, 2021 | 4.66% |
Tyler Technologies Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=TYL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=TYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();