Smith Micro Software (SMSI) Return on Capital Employed [ROCE] (2011 - 2026)
Smith Micro Software's Return on Capital Employed [ROCE] was -69.02% in Q2 2026, up 34.04 percentage points from -103.07% a year earlier and up 60.22 percentage points from the prior quarter.
Smith Micro Software (SMSI) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Smith Micro Software came in at -95.46%, down 14.71 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of -101.46 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -80.75% in FY2024 (-59.99 pp), -20.77% in FY2023 (+14.25 pp), -35.02% in FY2022 (+1.66 pp) and -36.68% in FY2021 (-42.68 pp).
- The Q2 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since Q1 2025.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in two of the last eight quarters, with an average year-over-year change of -33.06 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q2 2026 (a gain of 34.04 percentage points); the worst was Q4 2024 (a drop of 96.91 percentage points).
- Per Business Quant data, SMSI's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -129.24% (Q1 2026), -145.56% (Q4 2025) and -133.30% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.94 Bn | 68.19 Bn | 6.00 Bn | 51.31% |
| 2 | Atlassian | 48.88 Bn | 42.16 Bn | 1.53 Bn | 0.45% |
| 3 | Twilio | 45.24 Bn | 35.23 Bn | 725.87 Mn | 2.39% |
| 4 | Autodesk | 44.31 Bn | 32.34 Bn | 1.87 Bn | 35.01% |
| 5 | Zoom Communications | 27.15 Bn | -3.64 Bn | 985.50 Mn | 11.23% |
| 6 | Figma | 11.33 Bn | 4.84 Bn | 309.61 Mn | -93.81% |
| 7 | Dropbox | 7.45 Bn | 3.08 Bn | 506.50 Mn | 38.55% |
| 8 | Nice | 6.88 Bn | 5.35 Bn | 995.81 Mn | 43.95% |
| 9 | RingCentral | 6.55 Bn | 6.05 Bn | 472.31 Mn | 23.49% |
| 10 | Smith Micro Software | 14.81 Mn | 7.39 Mn | 3.53 Mn | -69.02% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -69.02% |
| Mar 31, 2026 | -129.24% |
| Dec 31, 2025 | -145.56% |
| Sep 30, 2025 | -133.30% |
| Jun 30, 2025 | -103.07% |
| Mar 31, 2025 | -57.83% |
| Dec 31, 2024 | -119.12% |
| Sep 30, 2024 | -117.26% |
| Jun 30, 2024 | -99.21% |
| Mar 31, 2024 | -67.23% |
| Dec 31, 2023 | -22.21% |
| Sep 30, 2023 | -24.01% |
| Jun 30, 2023 | -32.18% |
| Mar 31, 2023 | -38.21% |
| Dec 31, 2022 | -36.04% |
| Sep 30, 2022 | -30.08% |
| Jun 30, 2022 | -40.10% |
| Mar 31, 2022 | -34.00% |
| Dec 31, 2021 | -26.85% |
| Sep 30, 2021 | -24.24% |
Smith Micro Software 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=SMSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=SMSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();