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 | 251.30 Bn | 230.45 Bn | 4.88 Bn | 364.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 892.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 412.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 370.60 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 434.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 554.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 278.90 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 258.00 Mn |
| 10 | Neuronetics | 179.82 Mn | 95.06 Mn | 21.22 Mn | 1.34 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 1.58 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();