NeuroPace (NPCE) Research & Development (2020 - 2026)
NeuroPace (NPCE) posted Research & Development of $6.9 million for Q2 2026, up 0.8% from $6.85 million a year earlier but down 4.0% from the prior quarter.
NeuroPace (NPCE) Research & Development (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at NeuroPace was $27.69 million, up 6.1% year-over-year; for FY2025, it was $27.89 million, up 17.9% from FY2024.
- Annual Research & Development shows a five-year compound annual growth rate of 12.2% (FY2020 to FY2025).
- In prior years, NeuroPace's Research & Development was $23.65 million in FY2024 (+13.8%), $20.78 million in FY2023 (-5.3%), $21.95 million in FY2022 (+20.5%) and $18.21 million in FY2021 (+16.0%).
- Quarterly Research & Development has run from a low of $4.33 million in Q3 2021 to a high of $7.44 million in Q1 2025 over five years.
- On a year-over-year basis, Research & Development increased in seven of the last eight quarters, with growth averaging 12.7%.
- The strongest year-over-year quarter for Research & Development in the past five years was Q4 2021, with growth of 36.4%; the weakest was Q3 2023, with a decline of 14.5%.
- According to Business Quant data, Research & Development for the three prior quarters was $7.19 million (Q1 2026), $7.03 million (Q4 2025) and $6.58 million (Q3 2025).
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 | NeuroPace | 477.90 Mn | 251.15 Mn | 18.91 Mn | 6.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.90 Mn |
| Mar 31, 2026 | 7.19 Mn |
| Dec 31, 2025 | 7.03 Mn |
| Sep 30, 2025 | 6.58 Mn |
| Jun 30, 2025 | 6.85 Mn |
| Mar 31, 2025 | 7.44 Mn |
| Dec 31, 2024 | 6.05 Mn |
| Sep 30, 2024 | 5.75 Mn |
| Jun 30, 2024 | 6.07 Mn |
| Mar 31, 2024 | 5.78 Mn |
| Dec 31, 2023 | 5.38 Mn |
| Sep 30, 2023 | 4.80 Mn |
| Jun 30, 2023 | 5.34 Mn |
| Mar 31, 2023 | 5.26 Mn |
| Dec 31, 2022 | 5.09 Mn |
| Sep 30, 2022 | 5.61 Mn |
| Jun 30, 2022 | 5.67 Mn |
| Mar 31, 2022 | 5.58 Mn |
| Dec 31, 2021 | 5.35 Mn |
| Sep 30, 2021 | 4.33 Mn |
NeuroPace 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=NPCE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "NPCE", "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=NPCE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();