Neuronetics (STIM) Research & Development (2017 - 2026)
Neuronetics' Research & Development came in at $1.34 million for Q2 2026, down 25.7% from $1.8 million a year earlier and down 2.1% from the prior quarter.
Neuronetics (STIM) Research & Development (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Neuronetics reported Research & Development of $5.87 million, down 49.4% year-over-year; for FY2025, it was $6.58 million, down 48.4% from FY2024.
- Research & Development carries a five-year compound annual growth rate of -6.5% (FY2020 to FY2025).
- Going back by year, Research & Development was $12.77 million in FY2024 (+34.2%), $9.52 million in FY2023 (+1.9%), $9.34 million in FY2022 (+17.8%) and $7.92 million in FY2021 (-13.9%).
- The Q2 2026 figure represents the lowest quarterly Research & Development in data going back to Q1 2017.
- Year-over-year, Research & Development has declined for six consecutive quarters, with an average decline of 3.4% over the last eight quarters.
- The fastest year-over-year change in Research & Development over five years came in Q4 2024 (growth of 161.5%), and the weakest in Q4 2025 (a decline of 71.1%).
- Business Quant data shows STIM's Research & Development at $1.36 million (Q1 2026), $1.67 million (Q4 2025) and $1.5 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 348.00 Mn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 920.00 Mn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 433.00 Mn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 408.30 Mn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 433.00 Mn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 520.00 Mn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 281.40 Mn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 258.00 Mn |
| 10 | Neuronetics | 160.17 Mn | 77.51 Mn | 21.89 Mn | 1.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.19 Mn |
| Jun 30, 2026 | 1.34 Mn |
| Mar 31, 2026 | 1.36 Mn |
| Dec 31, 2025 | 1.67 Mn |
| Sep 30, 2025 | 1.50 Mn |
| Jun 30, 2025 | 1.80 Mn |
| Mar 31, 2025 | 1.62 Mn |
| Dec 31, 2024 | 5.77 Mn |
| Sep 30, 2024 | 2.42 Mn |
| Jun 30, 2024 | 2.24 Mn |
| Mar 31, 2024 | 2.35 Mn |
| Dec 31, 2023 | 2.21 Mn |
| Sep 30, 2023 | 2.16 Mn |
| Jun 30, 2023 | 2.36 Mn |
| Mar 31, 2023 | 2.79 Mn |
| Dec 31, 2022 | 3.14 Mn |
| Sep 30, 2022 | 2.35 Mn |
| Jun 30, 2022 | 2.05 Mn |
| Mar 31, 2022 | 1.80 Mn |
| Dec 31, 2021 | 1.74 Mn |
Neuronetics Research & Development 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=research-and-development&ticker=STIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=STIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();