Telos (TLS) Return on Sales [ROS] (2010 - 2026)
Telos (TLS) reported Return on Sales [ROS] of 0.65% for Q2 2026, up 28.13 percentage points from -27.48% a year earlier but down 2.40 percentage points from the prior quarter.
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Analysis
Telos (TLS) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Telos' Return on Sales [ROS] came in at -9.92%, up 39.51 percentage points year-over-year; for FY2025, it was -24.20%, up 27.41 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -24.36 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -51.60% in FY2024 (-23.87 pp), -27.73% in FY2023 (-2.90 pp), -24.83% in FY2022 (-7.73 pp) and -17.10% in FY2021 (-17.27 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -121.36% in Q3 2024 and a high of 3.05% in Q1 2026.
- Year over year, Return on Sales [ROS] gained in four of the last eight quarters, with an average year-over-year change of +8.11 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2025 (a gain of 116.57 percentage points); the low point was Q3 2024 (a drop of 94.58 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 3.05% (Q1 2026), -39.57% (Q4 2025) and -4.80% (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 | Telos | 313.15 Mn | 100.04 Mn | 16.69 Mn | 0.65% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.65% |
| Mar 31, 2026 | 3.05% |
| Dec 31, 2025 | -39.57% |
| Sep 30, 2025 | -4.80% |
| Jun 30, 2025 | -27.48% |
| Mar 31, 2025 | -29.47% |
| Dec 31, 2024 | -37.64% |
| Sep 30, 2024 | -121.36% |
| Jun 30, 2024 | -30.33% |
| Mar 31, 2024 | -28.49% |
| Dec 31, 2023 | -19.93% |
| Sep 30, 2023 | -26.79% |
| Jun 30, 2023 | -28.77% |
| Mar 31, 2023 | -36.82% |
| Dec 31, 2022 | -30.97% |
| Sep 30, 2022 | -13.81% |
| Jun 30, 2022 | -25.16% |
| Mar 31, 2022 | -32.63% |
| Dec 31, 2021 | -8.45% |
| Sep 30, 2021 | -7.38% |
API Access
Telos 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=TLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=TLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();