Pulmonx (LUNG) Shares Outstanding (Entity) (2019 - 2025)
Pulmonx (LUNG) recorded Shares Outstanding (Entity) of 41.67 million in Q4 2025, up 4.7% from 39.79 million a year earlier and up 1.0% from the prior quarter.
Pulmonx (LUNG) Shares Outstanding (Entity) (2019 - 2025) Analysis & Trends
Starting with Q3 2019, Pulmonx's Shares Outstanding (Entity) history includes 26 quarters.
- Annual Shares Outstanding (Entity) has increased for seven straight years, with a five-year compound annual growth rate of 32.6% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Entity) came in at 39.79 million in FY2024 (+3.3%), 38.52 million in FY2023 (+2.6%), 37.56 million in FY2022 (+1.7%) and 36.93 million in FY2021 (+262.6%).
- The Q4 2025 figure is the highest quarterly Shares Outstanding (Entity) in data going back to Q3 2019.
- On a year-over-year basis, Shares Outstanding (Entity) has increased for 17 consecutive quarters, with growth averaging 3.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Entity) ran from 1.6% in Q3 2022 to 262.6% in Q4 2021.
- Per Business Quant, the preceding three quarters came in at 41.25 million (Q3 2025), 40.74 million (Q2 2025) and 40.25 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 370.52 Mn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 1.73 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 703.40 Mn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 346.60 Mn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 1.28 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 380.69 Mn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 1.45 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 575.60 Mn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 272.39 Mn |
| 10 | Pulmonx | 116.67 Mn | -202.56 Mn | - | 41.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 41.67 Mn |
| Sep 30, 2025 | 41.25 Mn |
| Jun 30, 2025 | 40.74 Mn |
| Mar 31, 2025 | 40.25 Mn |
| Dec 31, 2024 | 39.79 Mn |
| Sep 30, 2024 | 39.49 Mn |
| Jun 30, 2024 | 39.15 Mn |
| Mar 31, 2024 | 38.81 Mn |
| Dec 31, 2023 | 38.52 Mn |
| Sep 30, 2023 | 38.30 Mn |
| Jun 30, 2023 | 38.02 Mn |
| Mar 31, 2023 | 37.73 Mn |
| Dec 31, 2022 | 37.56 Mn |
| Sep 30, 2022 | 37.41 Mn |
| Jun 30, 2022 | 37.27 Mn |
| Mar 31, 2022 | 37.10 Mn |
| Dec 31, 2021 | 36.93 Mn |
| Sep 30, 2021 | 36.82 Mn |
| Jun 30, 2021 | 36.58 Mn |
| Mar 31, 2021 | 35.80 Mn |
Pulmonx Shares Outstanding (Entity) 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-entity&ticker=LUNG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "LUNG", "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-entity&ticker=LUNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();