Neuronetics (STIM) EBITDA Margin (2017 - 2026)
Neuronetics' EBITDA Margin came in at -1.86% for Q2 2026, up 16.92 percentage points from -18.78% a year earlier and up 22.09 percentage points from the prior quarter.
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Analysis
Neuronetics (STIM) EBITDA Margin (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Neuronetics reported EBITDA Margin of -12.72%, up 19.23 percentage points year-over-year; for FY2025, it was -18.75%, up 24.63 percentage points from FY2024.
- EBITDA Margin carries a five-year change of +24.64 percentage points (FY2020 to FY2025).
- Going back by year, EBITDA Margin was -43.38% in FY2024 (-3.37 pp), -40.01% in FY2023 (+11.31 pp), -51.32% in FY2022 (-3.40 pp) and -47.92% in FY2021 (-4.53 pp).
- The Q2 2026 figure represents the highest quarterly EBITDA Margin in data going back to Q2 2017.
- Year-over-year, EBITDA Margin has increased for six consecutive quarters, with an average year-over-year change of +12.17 percentage points over the last eight quarters.
- The fastest year-over-year change in EBITDA Margin over five years came in Q4 2025 (a gain of 38.78 percentage points), and the weakest in Q3 2021 (a drop of 32.67 percentage points).
- Business Quant data shows STIM's EBITDA Margin at -23.94% (Q1 2026), -10.24% (Q4 2025) and -17.25% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 24.20% |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 21.86% |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 28.51% |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 41.08% |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 29.67% |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 28.17% |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 31.93% |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 24.62% |
| 10 | Neuronetics | 178.29 Mn | 93.53 Mn | 21.22 Mn | -1.86% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.86% |
| Mar 31, 2026 | -23.94% |
| Dec 31, 2025 | -10.24% |
| Sep 30, 2025 | -17.25% |
| Jun 30, 2025 | -18.78% |
| Mar 31, 2025 | -31.60% |
| Dec 31, 2024 | -49.02% |
| Sep 30, 2024 | -38.94% |
| Jun 30, 2024 | -48.34% |
| Mar 31, 2024 | -36.17% |
| Dec 31, 2023 | -19.32% |
| Sep 30, 2023 | -46.81% |
| Jun 30, 2023 | -38.96% |
| Mar 31, 2023 | -60.43% |
| Dec 31, 2022 | -39.14% |
| Sep 30, 2022 | -42.84% |
| Jun 30, 2022 | -57.92% |
| Mar 31, 2022 | -69.22% |
| Dec 31, 2021 | -44.05% |
| Sep 30, 2021 | -50.48% |
API Access
Neuronetics EBITDA Margin 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=ebitda-margin&ticker=STIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=STIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();