Telos (TLS) Return on Capital Employed [ROCE] (2011 - 2026)
Telos' Return on Capital Employed [ROCE] came in at -19.37% for Q2 2026, up 27.61 percentage points from -46.98% a year earlier and up 9.21 percentage points from the prior quarter.
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Analysis
Telos (TLS) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Telos' Return on Capital Employed [ROCE] was -35.52%, down 0.89 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of -35.85 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -34.63% in FY2024 (-12.70 pp), -21.93% in FY2023 (+5.51 pp), -27.44% in FY2022 (-2.16 pp) and -25.28% in FY2021 (-25.61 pp).
- The Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] since Q1 2021.
- Year-over-year, Return on Capital Employed [ROCE] has increased for four consecutive quarters, with an average year-over-year change of -1.91 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q2 2026 (a gain of 27.61 percentage points), and the weakest in Q3 2021 (a drop of 65.15 percentage points).
- Business Quant data shows TLS's Return on Capital Employed [ROCE] at -28.58% (Q1 2026), -34.59% (Q4 2025) and -24.57% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | Telos | 313.15 Mn | 100.04 Mn | 16.69 Mn | -19.37% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -19.37% |
| Mar 31, 2026 | -28.58% |
| Dec 31, 2025 | -34.59% |
| Sep 30, 2025 | -24.57% |
| Jun 30, 2025 | -46.98% |
| Mar 31, 2025 | -41.94% |
| Dec 31, 2024 | -39.87% |
| Sep 30, 2024 | -36.81% |
| Jun 30, 2024 | -21.10% |
| Mar 31, 2024 | -20.85% |
| Dec 31, 2023 | -24.07% |
| Sep 30, 2023 | -25.82% |
| Jun 30, 2023 | -25.36% |
| Mar 31, 2023 | -26.53% |
| Dec 31, 2022 | -27.35% |
| Sep 30, 2022 | -23.82% |
| Jun 30, 2022 | -21.67% |
| Mar 31, 2022 | -23.34% |
| Dec 31, 2021 | -21.47% |
| Sep 30, 2021 | -25.68% |
API Access
Telos 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=TLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "TLS", "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=TLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();