NeuroPace (NPCE) Return on Sales [ROS] (2020 - 2026)
NeuroPace's Return on Sales [ROS] came in at -22.53% for Q2 2026, up 19.46 percentage points from -41.99% a year earlier and up 2.70 percentage points from the prior quarter.
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Analysis
NeuroPace (NPCE) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, NeuroPace reported Return on Sales [ROS] of -15.26%, up 9.86 percentage points year-over-year; for FY2025, it was -16.34%, up 10.78 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last three years, with a five-year change of +15.38 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -27.12% in FY2024 (+14.42 pp), -41.54% in FY2023 (+48.08 pp), -89.62% in FY2022 (-37.08 pp) and -52.54% in FY2021 (-20.81 pp).
- The five-year range for quarterly Return on Sales [ROS] is -107.59% (Q2 2022) to -6.65% (Q4 2025).
- Year-over-year, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +9.29 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2023 (a gain of 60.02 percentage points), and the weakest in Q2 2022 (a drop of 71.13 percentage points).
- Business Quant data shows NPCE's Return on Sales [ROS] at -25.23% (Q1 2026), -6.65% (Q4 2025) and -9.51% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 13.31% |
| 10 | NeuroPace | 435.39 Mn | 208.64 Mn | 18.91 Mn | -22.53% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -22.53% |
| Mar 31, 2026 | -25.23% |
| Dec 31, 2025 | -6.65% |
| Sep 30, 2025 | -9.51% |
| Jun 30, 2025 | -41.99% |
| Mar 31, 2025 | -22.85% |
| Dec 31, 2024 | -17.02% |
| Sep 30, 2024 | -20.15% |
| Jun 30, 2024 | -32.35% |
| Mar 31, 2024 | -41.63% |
| Dec 31, 2023 | -28.04% |
| Sep 30, 2023 | -36.22% |
| Jun 30, 2023 | -47.57% |
| Mar 31, 2023 | -57.48% |
| Dec 31, 2022 | -77.09% |
| Sep 30, 2022 | -91.41% |
| Jun 30, 2022 | -107.59% |
| Mar 31, 2022 | -85.83% |
| Dec 31, 2021 | -81.98% |
| Sep 30, 2021 | -60.38% |
API Access
NeuroPace Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=NPCE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=NPCE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();