NeuroPace (NPCE) Shares Outstanding (2020 - 2026)
NeuroPace (NPCE) reported Weighted Average Shares Outstanding of 34.35 million for Q3 2026, up 3.7% from 33.13 million a year earlier and up 0.7% from the prior quarter.
NeuroPace (NPCE) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025, NeuroPace posted Weighted Average Shares Outstanding of 32.72 million, up 12.3% from FY2024.
- Weighted Average Shares Outstanding has increased for four consecutive years, with a five-year compound annual growth rate of 176.1% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 29.13 million in FY2024 (+12.7%), 25.85 million in FY2023 (+5.1%), 24.59 million in FY2022 (+48.1%) and 16.61 million in FY2021.
- The Q3 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding in data going back to Q1 2020.
- Year over year, Weighted Average Shares Outstanding has now increased in each of the last 18 quarters, with growth averaging 9.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Weighted Average Shares Outstanding ranged from 2.6% (Q3 2022) to 48.1% (Q4 2022).
- Per Business Quant data, the three quarters before Q3 2026 came in at 34.1 million (Q2 2026), 33.72 million (Q1 2026) and 32.72 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 370.00 Mn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 1.73 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 703.80 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 349.00 Mn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 1.28 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 382.20 Mn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 1.45 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 576.30 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 876.47 Mn |
| 10 | NeuroPace | 260.31 Mn | 44.34 Mn | 19.47 Mn | 34.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 34.35 Mn |
| Jun 30, 2026 | 34.10 Mn |
| Mar 31, 2026 | 33.72 Mn |
| Dec 31, 2025 | 32.72 Mn |
| Sep 30, 2025 | 33.13 Mn |
| Jun 30, 2025 | 32.86 Mn |
| Mar 31, 2025 | 31.48 Mn |
| Dec 31, 2024 | 29.13 Mn |
| Sep 30, 2024 | 29.44 Mn |
| Jun 30, 2024 | 28.85 Mn |
| Mar 31, 2024 | 28.29 Mn |
| Dec 31, 2023 | 25.85 Mn |
| Sep 30, 2023 | 26.02 Mn |
| Jun 30, 2023 | 25.47 Mn |
| Mar 31, 2023 | 25.10 Mn |
| Dec 31, 2022 | 24.59 Mn |
| Sep 30, 2022 | 24.73 Mn |
| Jun 30, 2022 | 24.50 Mn |
| Mar 31, 2022 | 24.31 Mn |
| Dec 31, 2021 | 16.61 Mn |
NeuroPace Shares Outstanding 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=shares-outstanding&ticker=NPCE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=NPCE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();