NeuroPace (NPCE) EBITDA Margin (2020 - 2026)
NeuroPace's EBITDA Margin was -22.09% in Q2 2026, up 19.39 percentage points from -41.48% a year earlier and up 2.87 percentage points from the prior quarter.
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Analysis
NeuroPace (NPCE) EBITDA Margin (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, NeuroPace's EBITDA Margin was -14.95% through Jun 30, 2026, up 9.85 percentage points year-over-year; for FY2025, it was -16.10%, up 10.76 percentage points from FY2024.
- EBITDA Margin has now increased for three consecutive years, with a five-year change of +14.86 percentage points (FY2020 to FY2025).
- In earlier years, EBITDA Margin was -26.86% in FY2024 (+14.37 pp), -41.23% in FY2023 (+47.73 pp), -88.96% in FY2022 (-37.09 pp) and -51.87% in FY2021 (-20.90 pp).
- Quarterly EBITDA Margin has moved between -106.61% (Q2 2022) and -6.50% (Q4 2025) over five years.
- Compared with a year earlier, EBITDA Margin was higher in six of the last eight quarters, with an average year-over-year change of +9.22 percentage points.
- The best year-over-year quarter for EBITDA Margin over five years was Q2 2023 (a gain of 59.64 percentage points); the worst was Q2 2022 (a drop of 70.94 percentage points).
- Per Business Quant data, NPCE's EBITDA Margin in the three quarters before Q2 2026 was -24.96% (Q1 2026), -6.50% (Q4 2025) and -9.14% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 24.20% |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 21.86% |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 28.51% |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 41.08% |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 29.67% |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 28.17% |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 24.62% |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 31.93% |
| 10 | NeuroPace | 446.43 Mn | 219.67 Mn | 18.91 Mn | -21.79% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -21.79% |
| Mar 31, 2026 | -24.65% |
| Dec 31, 2025 | -6.27% |
| Sep 30, 2025 | -8.88% |
| Jun 30, 2025 | -41.20% |
| Mar 31, 2025 | -22.42% |
| Dec 31, 2024 | -16.76% |
| Sep 30, 2024 | -19.45% |
| Jun 30, 2024 | -31.55% |
| Mar 31, 2024 | -40.95% |
| Dec 31, 2023 | -27.24% |
| Sep 30, 2023 | -35.16% |
| Jun 30, 2023 | -46.55% |
| Mar 31, 2023 | -56.71% |
| Dec 31, 2022 | -75.89% |
| Sep 30, 2022 | -89.94% |
| Jun 30, 2022 | -106.01% |
| Mar 31, 2022 | -84.36% |
| Dec 31, 2021 | -80.61% |
| Sep 30, 2021 | -58.85% |
API Access
NeuroPace EBITDA Margin 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=ebitda-margin&ticker=NPCE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=NPCE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();