SOBR Safe (SOBR) Return on Sales [ROS] (2022 - 2026)
SOBR Safe's Return on Sales [ROS] came in at -10547.21% for Q2 2026, down 8562.07 percentage points from -1985.14% a year earlier and down 7623.26 percentage points from the prior quarter.
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Analysis
SOBR Safe (SOBR) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, SOBR Safe reported Return on Sales [ROS] of -2964.16%, down 272.72 percentage points year-over-year; for FY2025, it was -2093.65%, up 1514.49 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last three years, with a three-year change of +27387.81 percentage points (FY2022 to FY2025).
- Going back by year, Return on Sales [ROS] was -3608.15% in FY2024 (+2495.50 pp), -6103.65% in FY2023 (+23377.82 pp) and -29481.46% in FY2022.
- The Q2 2026 figure represents the lowest quarterly Return on Sales [ROS] since Q4 2022.
- Year-over-year, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +226.24 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2023 (a gain of 165221.35 percentage points), and the weakest in Q2 2026 (a drop of 8562.07 percentage points).
- Business Quant data shows SOBR's Return on Sales [ROS] at -2923.95% (Q1 2026), -2114.12% (Q4 2025) and -2043.41% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 0.96% |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 7.97% |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 27.75% |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 11.37% |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 13.58% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 22.24% |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 8.22% |
| 10 | SOBR Safe | 43,301.55 | -12.02 Mn | -117,324.00 | -10,547.21% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -10,547.21% |
| Mar 31, 2026 | -2,923.95% |
| Dec 31, 2025 | -2,114.12% |
| Sep 30, 2025 | -2,043.41% |
| Jun 30, 2025 | -1,985.14% |
| Mar 31, 2025 | -2,254.88% |
| Dec 31, 2024 | -3,479.87% |
| Sep 30, 2024 | -4,005.87% |
| Jun 30, 2024 | -3,464.11% |
| Mar 31, 2024 | -3,560.71% |
| Dec 31, 2023 | -6,715.33% |
| Sep 30, 2023 | -5,698.41% |
| Jun 30, 2023 | -7,178.79% |
| Mar 31, 2023 | -5,111.93% |
| Dec 31, 2022 | -14,170.57% |
| Sep 30, 2022 | -28,582.37% |
| Jun 30, 2022 | -172,400.13% |
| Mar 31, 2022 | -122,958.93% |
API Access
SOBR Safe 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=SOBR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SOBR", "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=SOBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();