NeuroPace (NPCE) Cost of Revenue (2020 - 2026)
NeuroPace (NPCE) posted Cost of Revenue of $3.92 million for Q2 2026, up 19.2% from $3.29 million a year earlier but down 2.5% from the prior quarter.
NeuroPace (NPCE) Cost of Revenue (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at NeuroPace was $20.14 million, up 3.9% year-over-year; for FY2025, it was $22.77 million, up 9.3% from FY2024.
- Annual Cost of Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 15.9% (FY2020 to FY2025).
- In prior years, NeuroPace's Cost of Revenue was $20.82 million in FY2024 (+20.4%), $17.3 million in FY2023 (+32.8%), $13.03 million in FY2022 (+10.9%) and $11.75 million in FY2021 (+8.1%).
- Quarterly Cost of Revenue has run from a low of $2.73 million in Q2 2022 to a high of $6.19 million in Q3 2025 over five years.
- On a year-over-year basis, Cost of Revenue increased in six of the last eight quarters, with growth averaging 5.7%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q2 2023, with growth of 66.0%; the weakest was Q2 2025, with a decline of 35.8%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $4.02 million (Q1 2026), $6.01 million (Q4 2025) and $6.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | NeuroPace | 435.39 Mn | 208.64 Mn | 18.91 Mn | 3.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.92 Mn |
| Mar 31, 2026 | 4.02 Mn |
| Dec 31, 2025 | 6.01 Mn |
| Sep 30, 2025 | 6.19 Mn |
| Jun 30, 2025 | 3.29 Mn |
| Mar 31, 2025 | 5.18 Mn |
| Dec 31, 2024 | 5.28 Mn |
| Sep 30, 2024 | 5.64 Mn |
| Jun 30, 2024 | 5.12 Mn |
| Mar 31, 2024 | 4.78 Mn |
| Dec 31, 2023 | 4.47 Mn |
| Sep 30, 2023 | 4.19 Mn |
| Jun 30, 2023 | 4.54 Mn |
| Mar 31, 2023 | 4.10 Mn |
| Dec 31, 2022 | 3.99 Mn |
| Sep 30, 2022 | 3.19 Mn |
| Jun 30, 2022 | 2.73 Mn |
| Mar 31, 2022 | 3.12 Mn |
| Dec 31, 2021 | 2.92 Mn |
| Sep 30, 2021 | 2.83 Mn |
NeuroPace Cost of Revenue 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=cost-of-revenue&ticker=NPCE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=NPCE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();