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 | 257.99 Bn | 237.02 Bn | 4.88 Bn | 24.20% |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 21.86% |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 28.51% |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 41.08% |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 29.67% |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 28.17% |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 24.62% |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 31.93% |
| 10 | Neuronetics | 147.72 Mn | 59.17 Mn | 21.22 Mn | -1.38% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.38% |
| Mar 31, 2026 | -23.07% |
| Dec 31, 2025 | -9.70% |
| Sep 30, 2025 | -16.72% |
| Jun 30, 2025 | -18.26% |
| Mar 31, 2025 | -30.97% |
| Dec 31, 2024 | -48.13% |
| Sep 30, 2024 | -38.40% |
| Jun 30, 2024 | -46.52% |
| Mar 31, 2024 | -35.24% |
| Dec 31, 2023 | -18.66% |
| Sep 30, 2023 | -46.25% |
| Jun 30, 2023 | -38.39% |
| Mar 31, 2023 | -59.14% |
| Dec 31, 2022 | -38.06% |
| Sep 30, 2022 | -41.62% |
| Jun 30, 2022 | -56.70% |
| Mar 31, 2022 | -68.06% |
| Dec 31, 2021 | -42.51% |
| Sep 30, 2021 | -49.03% |
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();