Neuronetics (STIM) Operating Expenses (2017 - 2026)
Neuronetics' Operating Expenses came in at $22.72 million for Q2 2026, down 12.0% from $25.82 million a year earlier and down 9.6% from the prior quarter.
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Analysis
Neuronetics (STIM) Operating Expenses (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Neuronetics reported Operating Expenses of $99.05 million, down 1.6% year-over-year; for FY2025, it was $103.74 million, up 16.9% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $88.72 million in FY2024 (+7.9%), $82.26 million in FY2023 (-3.0%), $84.83 million in FY2022 (+19.1%) and $71.22 million in FY2021 (+18.7%).
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q3 2024.
- Year-over-year, Operating Expenses increased in six of the last eight quarters, with growth averaging 11.3%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2021 (growth of 46.0%), and the weakest in Q2 2026 (a decline of 12.0%).
- Business Quant data shows STIM's Operating Expenses at $25.15 million (Q1 2026), $26.75 million (Q4 2025) and $24.43 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Neuronetics | 179.82 Mn | 95.06 Mn | 21.22 Mn | 22.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.72 Mn |
| Mar 31, 2026 | 25.15 Mn |
| Dec 31, 2025 | 26.75 Mn |
| Sep 30, 2025 | 24.43 Mn |
| Jun 30, 2025 | 25.82 Mn |
| Mar 31, 2025 | 26.75 Mn |
| Dec 31, 2024 | 26.37 Mn |
| Sep 30, 2024 | 21.73 Mn |
| Jun 30, 2024 | 20.69 Mn |
| Mar 31, 2024 | 19.95 Mn |
| Dec 31, 2023 | 20.20 Mn |
| Sep 30, 2023 | 20.64 Mn |
| Jun 30, 2023 | 20.12 Mn |
| Mar 31, 2023 | 21.30 Mn |
| Dec 31, 2022 | 21.54 Mn |
| Sep 30, 2022 | 20.38 Mn |
| Jun 30, 2022 | 22.09 Mn |
| Mar 31, 2022 | 20.83 Mn |
| Dec 31, 2021 | 18.39 Mn |
| Sep 30, 2021 | 17.84 Mn |
API Access
Neuronetics Operating Expenses 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=operating-expenses&ticker=STIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=STIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();