NeuroPace (NPCE) EPS (Diluted) (2020 - 2026)
NeuroPace (NPCE) recorded EPS (Diluted) of -$0.10 in Q3 2026, compared with -$0.11 a year earlier.
Analysis
NeuroPace (NPCE) EPS (Diluted) (2020 - 2026) Analysis & Trends
On a TTM basis, NeuroPace's EPS (Diluted) came in at -$0.55 as of Sep 30, 2026; for FY2025, it was -$0.66.
- Across earlier years, EPS (Diluted) came in at -$0.93 in FY2024, -$1.27 in FY2023, -$1.91 in FY2022 and -$2.17 in FY2021.
- Quarterly EPS (Diluted) has ranged from -$0.64 in Q4 2021 to -$0.08 in Q4 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$0.18 (Q2 2026), -$0.20 (Q1 2026) and -$0.08 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 4.64 |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 0.53 |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 1.75 |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 1.49 |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 1.14 |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 1.96 |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 0.40 |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 0.52 |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 0.24 |
| 10 | NeuroPace | 260.31 Mn | 44.34 Mn | 19.47 Mn | -0.10 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -0.10 |
| Jun 30, 2026 | -0.18 |
| Mar 31, 2026 | -0.20 |
| Dec 31, 2025 | -0.08 |
| Sep 30, 2025 | -0.11 |
| Jun 30, 2025 | -0.26 |
| Mar 31, 2025 | -0.21 |
| Dec 31, 2024 | -0.18 |
| Sep 30, 2024 | -0.19 |
| Jun 30, 2024 | -0.26 |
| Mar 31, 2024 | -0.32 |
| Dec 31, 2023 | -0.24 |
| Sep 30, 2023 | -0.28 |
| Jun 30, 2023 | -0.36 |
| Mar 31, 2023 | -0.41 |
| Dec 31, 2022 | -0.45 |
| Sep 30, 2022 | -0.48 |
| Jun 30, 2022 | -0.52 |
| Mar 31, 2022 | -0.47 |
| Dec 31, 2021 | -0.64 |
API Access
NeuroPace EPS (Diluted) 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=eps-diluted&ticker=NPCE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=NPCE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();