Smith Micro Software (SMSI) Return on Sales [ROS] (2010 - 2026)
Smith Micro Software (SMSI) posted Return on Sales [ROS] of -54.57% for Q2 2026, up 283.73 percentage points from -338.30% a year earlier and up 25.34 percentage points from the prior quarter.
Smith Micro Software (SMSI) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Smith Micro Software was -86.42%, up 80.39 percentage points year-over-year; for FY2025, it was -167.09%, up 73.20 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -173.95 percentage points (FY2020 to FY2025).
- In prior years, Smith Micro Software's Return on Sales [ROS] was -240.28% in FY2024 (-196.10 pp), -44.19% in FY2023 (+19.56 pp), -63.75% in FY2022 (-10.79 pp) and -52.96% in FY2021 (-59.82 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q3 2023.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of +52.10 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2025, with a gain of 429.61 percentage points; the weakest was Q1 2024, with a drop of 478.91 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -79.91% (Q1 2026), -109.81% (Q4 2025) and -103.17% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.94 Bn | 68.19 Bn | 6.00 Bn | 34.82% |
| 2 | Atlassian | 48.88 Bn | 42.16 Bn | 1.53 Bn | 11.93% |
| 3 | Twilio | 45.24 Bn | 35.23 Bn | 725.87 Mn | 5.64% |
| 4 | Autodesk | 44.31 Bn | 32.34 Bn | 1.87 Bn | 29.28% |
| 5 | Zoom Communications | 27.15 Bn | -3.64 Bn | 985.50 Mn | 24.61% |
| 6 | Figma | 11.33 Bn | 4.84 Bn | 309.61 Mn | -31.69% |
| 7 | Dropbox | 7.45 Bn | 3.08 Bn | 506.50 Mn | 26.10% |
| 8 | Nice | 6.88 Bn | 5.35 Bn | 995.81 Mn | 14.88% |
| 9 | RingCentral | 6.55 Bn | 6.05 Bn | 472.31 Mn | 7.65% |
| 10 | Smith Micro Software | 14.81 Mn | 7.39 Mn | 3.53 Mn | -54.57% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -54.57% |
| Mar 31, 2026 | -79.91% |
| Dec 31, 2025 | -109.81% |
| Sep 30, 2025 | -103.17% |
| Jun 30, 2025 | -338.30% |
| Mar 31, 2025 | -112.75% |
| Dec 31, 2024 | -89.66% |
| Sep 30, 2024 | -140.00% |
| Jun 30, 2024 | -135.78% |
| Mar 31, 2024 | -542.36% |
| Dec 31, 2023 | -66.30% |
| Sep 30, 2023 | -19.83% |
| Jun 30, 2023 | -31.38% |
| Mar 31, 2023 | -63.45% |
| Dec 31, 2022 | -62.78% |
| Sep 30, 2022 | -71.42% |
| Jun 30, 2022 | -66.06% |
| Mar 31, 2022 | -55.27% |
| Dec 31, 2021 | -27.45% |
| Sep 30, 2021 | -112.27% |
Smith Micro Software 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=SMSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SMSI", "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=SMSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();