Stem (STEM) Return on Capital Employed [ROCE] (2020 - 2026)
Stem (STEM) posted Return on Capital Employed [ROCE] of -24.86% for Q2 2026, up 55.86 percentage points from -80.72% a year earlier and up 0.26 percentage points from the prior quarter.
Stem (STEM) Return on Capital Employed [ROCE] (2020 - 2026) Analysis & Trends
For FY2025, Stem's Return on Capital Employed [ROCE] came in at -21.21%, up 88.04 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a four-year change of -7.61 percentage points (FY2021 to FY2025).
- In prior years, Stem's Return on Capital Employed [ROCE] was -109.25% in FY2024 (-93.50 pp), -15.75% in FY2023 (-3.14 pp), -12.61% in FY2022 (+0.99 pp) and -13.60% in FY2021.
- Quarterly Return on Capital Employed [ROCE] has run from a low of -263.28% in Q1 2025 to a high of -9.03% in Q4 2021 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last five quarters, with an average year-over-year change of +4.47 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q1 2026, with a gain of 238.17 percentage points; the weakest was Q1 2025, with a drop of 244.41 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -25.12% (Q1 2026), -24.73% (Q4 2025) and -36.71% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 1.86% |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | -1.66% |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 44.16% |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | -25.24% |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 0.30% |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 3.21% |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 0.40% |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | -1.83% |
| 10 | Stem | 40.83 Mn | -126.64 Mn | 13.89 Mn | -24.86% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -24.86% |
| Mar 31, 2026 | -25.12% |
| Dec 31, 2025 | -24.73% |
| Sep 30, 2025 | -36.71% |
| Jun 30, 2025 | -80.72% |
| Mar 31, 2025 | -263.28% |
| Dec 31, 2024 | -233.96% |
| Sep 30, 2024 | -202.56% |
| Jun 30, 2024 | -97.16% |
| Mar 31, 2024 | -18.88% |
| Dec 31, 2023 | -15.91% |
| Sep 30, 2023 | -15.19% |
| Jun 30, 2023 | -12.61% |
| Mar 31, 2023 | -12.26% |
| Dec 31, 2022 | -11.38% |
| Sep 30, 2022 | -10.80% |
| Jun 30, 2022 | -9.53% |
| Mar 31, 2022 | -9.68% |
| Dec 31, 2021 | -9.03% |
| Sep 30, 2021 | -9.60% |
Stem 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=STEM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "STEM", "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=STEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();