Neuronetics (STIM) Cost of Revenue (2017 - 2026)
Neuronetics' Cost of Revenue came in at $20.35 million for Q2 2026, unchanged from $20.35 million a year earlier and up 11.2% from the prior quarter.
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Analysis
Neuronetics (STIM) Cost of Revenue (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Neuronetics reported Cost of Revenue of $78.91 million, up 62.0% year-over-year; for FY2025, it came in at $76.85 million, up 270.7% from FY2024.
- Cost of Revenue has increased in each of the last five years, with a five-year compound annual growth rate of 46.1% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $20.73 million in FY2024 (+5.5%), $19.64 million in FY2023 (+26.9%), $15.48 million in FY2022 (+32.9%) and $11.65 million in FY2021 (+0.9%).
- The five-year range for quarterly Cost of Revenue is $3.14 million (Q3 2021) to $20.35 million (Q2 2025).
- Year-over-year, Cost of Revenue increased in six of the last eight quarters, with growth averaging 151.9%.
- The fastest year-over-year change in Cost of Revenue over five years came in Q2 2025 (growth of 376.5%), and the weakest in Q3 2024 (a decline of 26.0%).
- Business Quant data shows STIM's Cost of Revenue at $18.3 million (Q1 2026), $20.07 million (Q4 2025) and $20.19 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Neuronetics | 164.58 Mn | 79.82 Mn | 21.22 Mn | 20.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.35 Mn |
| Mar 31, 2026 | 18.30 Mn |
| Dec 31, 2025 | 20.07 Mn |
| Sep 30, 2025 | 20.19 Mn |
| Jun 30, 2025 | 20.35 Mn |
| Mar 31, 2025 | 16.24 Mn |
| Dec 31, 2024 | 7.60 Mn |
| Sep 30, 2024 | 4.53 Mn |
| Jun 30, 2024 | 4.27 Mn |
| Mar 31, 2024 | 4.33 Mn |
| Dec 31, 2023 | 4.54 Mn |
| Sep 30, 2023 | 6.12 Mn |
| Jun 30, 2023 | 4.84 Mn |
| Mar 31, 2023 | 4.14 Mn |
| Dec 31, 2022 | 4.39 Mn |
| Sep 30, 2022 | 3.57 Mn |
| Jun 30, 2022 | 4.04 Mn |
| Mar 31, 2022 | 3.49 Mn |
| Dec 31, 2021 | 3.54 Mn |
| Sep 30, 2021 | 3.14 Mn |
API Access
Neuronetics Cost of Revenue 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=cost-of-revenue&ticker=STIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=STIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();