Neuronetics (STIM) Return on Capital Employed [ROCE] (2018 - 2026)
Neuronetics (STIM) recorded Return on Capital Employed [ROCE] of -22.82% in Q2 2026, up 11.81 percentage points from -34.63% a year earlier and up 5.14 percentage points from the prior quarter.
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Analysis
Neuronetics (STIM) Return on Capital Employed [ROCE] (2018 - 2026) Analysis & Trends
For FY2025, Neuronetics reported Return on Capital Employed [ROCE] of -28.40%, up 7.20 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of +1.06 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -35.59% in FY2024 (-3.95 pp), -31.65% in FY2023 (+4.98 pp), -36.63% in FY2022 (-7.38 pp) and -29.25% in FY2021 (+0.21 pp).
- The Q2 2026 figure is the highest quarterly Return on Capital Employed [ROCE] since Q4 2021.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased for five consecutive quarters, with an average year-over-year change of +4.28 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 55.79 percentage points in Q3 2021, against a drop of 19.58 percentage points in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -27.96% (Q1 2026), -27.82% (Q4 2025) and -34.08% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 8.30% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 7.98% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 6.42% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 18.58% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 8.34% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 13.69% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 10.83% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 11.99% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.00% |
| 10 | Neuronetics | 164.58 Mn | 79.82 Mn | 21.22 Mn | -22.82% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -22.82% |
| Mar 31, 2026 | -27.96% |
| Dec 31, 2025 | -27.82% |
| Sep 30, 2025 | -34.08% |
| Jun 30, 2025 | -34.63% |
| Mar 31, 2025 | -33.21% |
| Dec 31, 2024 | -45.34% |
| Sep 30, 2024 | -40.14% |
| Jun 30, 2024 | -40.34% |
| Mar 31, 2024 | -28.86% |
| Dec 31, 2023 | -36.12% |
| Sep 30, 2023 | -41.61% |
| Jun 30, 2023 | -37.30% |
| Mar 31, 2023 | -36.68% |
| Dec 31, 2022 | -41.38% |
| Sep 30, 2022 | -35.74% |
| Jun 30, 2022 | -31.64% |
| Mar 31, 2022 | -25.16% |
| Dec 31, 2021 | -21.80% |
| Sep 30, 2021 | -23.85% |
API Access
Neuronetics 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=STIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "STIM", "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=STIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();