Tyler Technologies (TYL) Return on Capital Employed [ROCE] (2011 - 2026)
Tyler Technologies (TYL) recorded Return on Capital Employed [ROCE] of 8.89% in Q2 2026, down 0.44 percentage points from 9.33% a year earlier but up 0.08 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).
- Quarterly Return on Capital Employed [ROCE] has ranged from 4.66% in Q4 2021 to 9.45% in Q3 2025 over the past five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in six of the last eight quarters, with an average year-over-year change of +1.46 percentage points.
- 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 4.24 percentage points in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 8.81% (Q1 2026), 9.43% (Q4 2025) and 9.45% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 28.02% |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 9.81% |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 33.74% |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 10.68% |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 10.59% |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | -46.62% |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 21.09% |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -68.70% |
| 10 | Tyler Technologies | 15.55 Bn | 12.18 Bn | 307.06 Mn | 8.89% |
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | 4.70% |
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();