NeuroPace (NPCE) Operating Expenses (2020 - 2026)
NeuroPace's Operating Expenses was $24.05 million in Q2 2026, down 1.4% from $24.4 million a year earlier but up 1.8% from the prior quarter.
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Analysis
NeuroPace (NPCE) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, NeuroPace's Operating Expenses was $93.78 million through Jun 30, 2026, up 8.5% year-over-year; for FY2025, it came in at $93.56 million, up 15.9% from FY2024.
- Operating Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 16.6% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $80.76 million in FY2024 (+7.3%), $75.3 million in FY2023 (+2.7%), $73.29 million in FY2022 (+28.2%) and $57.17 million in FY2021 (+32.0%).
- Quarterly Operating Expenses has moved between $13.75 million (Q3 2021) and $24.4 million (Q2 2025) over five years.
- Compared with a year earlier, Operating Expenses was higher in seven of the last eight quarters, with growth averaging 9.9%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2021 (growth of 52.6%); the worst was Q2 2026 (a decline of 1.4%).
- Per Business Quant data, NPCE's Operating Expenses in the three quarters before Q2 2026 was $23.62 million (Q1 2026), $22.35 million (Q4 2025) and $23.77 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | NeuroPace | 477.90 Mn | 251.15 Mn | 18.91 Mn | 24.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.05 Mn |
| Mar 31, 2026 | 23.62 Mn |
| Dec 31, 2025 | 22.35 Mn |
| Sep 30, 2025 | 23.77 Mn |
| Jun 30, 2025 | 24.40 Mn |
| Mar 31, 2025 | 22.49 Mn |
| Dec 31, 2024 | 19.84 Mn |
| Sep 30, 2024 | 19.66 Mn |
| Jun 30, 2024 | 20.36 Mn |
| Mar 31, 2024 | 20.89 Mn |
| Dec 31, 2023 | 18.60 Mn |
| Sep 30, 2023 | 18.18 Mn |
| Jun 30, 2023 | 19.83 Mn |
| Mar 31, 2023 | 18.69 Mn |
| Dec 31, 2022 | 18.66 Mn |
| Sep 30, 2022 | 18.16 Mn |
| Jun 30, 2022 | 18.44 Mn |
| Mar 31, 2022 | 18.02 Mn |
| Dec 31, 2021 | 17.09 Mn |
| Sep 30, 2021 | 13.75 Mn |
API Access
NeuroPace Operating 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=operating-expenses&ticker=NPCE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=NPCE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();