Neuronetics (STIM) Accumulated Expenses (2017 - 2026)
Neuronetics' Accumulated Expenses was $8.93 million in Q2 2026, down 15.6% from $10.58 million a year earlier and down 7.0% from the prior quarter.
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Analysis
Neuronetics (STIM) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Neuronetics came in at $12.32 million, down 3.9% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $12.82 million in FY2024 (+1.8%), $12.6 million in FY2023 (-15.1%), $14.84 million in FY2022 (+80.2%) and $8.23 million in FY2021 (+12.5%).
- The Q2 2026 figure marks the lowest quarterly Accumulated Expenses since Q2 2023.
- Compared with a year earlier, Accumulated Expenses was higher in five of the last eight quarters, with growth averaging 0.1%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q4 2022 (growth of 80.2%); the worst was Q2 2026 (a decline of 15.6%).
- Per Business Quant data, STIM's Accumulated Expenses in the three quarters before Q2 2026 was $9.6 million (Q1 2026), $12.32 million (Q4 2025) and $9.65 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Neuronetics | 178.29 Mn | 93.53 Mn | 21.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.93 Mn |
| Mar 31, 2026 | 9.60 Mn |
| Dec 31, 2025 | 12.32 Mn |
| Sep 30, 2025 | 9.65 Mn |
| Jun 30, 2025 | 10.58 Mn |
| Mar 31, 2025 | 9.31 Mn |
| Dec 31, 2024 | 12.82 Mn |
| Sep 30, 2024 | 11.43 Mn |
| Jun 30, 2024 | 9.24 Mn |
| Mar 31, 2024 | 9.05 Mn |
| Dec 31, 2023 | 12.60 Mn |
| Sep 30, 2023 | 10.04 Mn |
| Jun 30, 2023 | 8.38 Mn |
| Mar 31, 2023 | 7.44 Mn |
| Dec 31, 2022 | 14.84 Mn |
| Sep 30, 2022 | 11.49 Mn |
| Jun 30, 2022 | 9.68 Mn |
| Mar 31, 2022 | 7.79 Mn |
| Dec 31, 2021 | 8.23 Mn |
| Sep 30, 2021 | 6.91 Mn |
API Access
Neuronetics Accumulated 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=accumulated-expenses&ticker=STIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=STIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();