Samsara (IOT) Return on Sales [ROS] (2021 - 2026)
Samsara (IOT) recorded Return on Sales [ROS] of 0.96% in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 7.76 percentage points from -6.80% a year earlier but down 0.54 percentage points from the prior quarter.
Samsara (IOT) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
On a TTM basis, Samsara's Return on Sales [ROS] came in at 1.05% as of Aug 1, 2026, up 9.86 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it was -3.25%, up 11.96 percentage points from FY2025.
- Annual Return on Sales [ROS] has increased for five straight fiscal years, with a five-year change of +80.58 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at -15.21% in FY2025 (+19.29 pp), -34.49% in FY2024 (+5.27 pp), -39.76% in FY2023 (+42.85 pp) and -82.61% in FY2022 (+1.22 pp).
- Quarterly Return on Sales [ROS] has ranged from -200.19% in fiscal Q4 2022 to 2.03% in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has increased for ten consecutive quarters, with an average year-over-year change of +14.32 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 168.03 percentage points in fiscal Q4 2023, against a drop of 12.37 percentage points in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 1.50% (Q1 2027), 2.03% (Q4 2026) and -0.41% (Q3 2026).
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 | Bentley Systems | 9.73 Bn | 9.19 Bn | 336.74 Mn | 21.57% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 0.96% |
| May 2, 2026 | 1.50% |
| Jan 31, 2026 | 2.03% |
| Nov 1, 2025 | -0.41% |
| Aug 2, 2025 | -6.80% |
| May 3, 2025 | -9.06% |
| Feb 1, 2025 | -5.32% |
| Nov 2, 2024 | -14.71% |
| Aug 3, 2024 | -19.38% |
| May 4, 2024 | -23.51% |
| Feb 3, 2024 | -44.52% |
| Oct 28, 2023 | -23.06% |
| Jul 29, 2023 | -31.81% |
| Apr 29, 2023 | -37.11% |
| Jan 28, 2023 | -32.15% |
| Oct 29, 2022 | -37.38% |
| Jul 30, 2022 | -42.85% |
| Apr 30, 2022 | -49.22% |
| Jan 29, 2022 | -200.19% |
| Oct 30, 2021 | -28.36% |
Samsara 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=IOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "IOT", "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=IOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();