Pulmonx (LUNG) EBITDA Margin (2019 - 2025)
Pulmonx (LUNG) posted EBITDA Margin of -65.79% for Q3 2025, up 1.67 percentage points from -67.46% a year earlier but down 5.00 percentage points from the prior quarter.
Pulmonx (LUNG) EBITDA Margin (2019 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, EBITDA Margin at Pulmonx was -61.16%, up 10.37 percentage points year-over-year; for FY2024, it was -67.09%, up 20.85 percentage points from FY2023.
- Annual EBITDA Margin shows a five-year change of -13.48 percentage points (FY2019 to FY2024).
- In prior years, Pulmonx's EBITDA Margin was -87.93% in FY2023 (+18.52 pp), -106.45% in FY2022 (-10.54 pp), -95.91% in FY2021 (+1.39 pp) and -97.30% in FY2020 (-43.69 pp).
- Quarterly EBITDA Margin has run from a low of -141.86% in Q1 2022 to a high of -55.22% in Q4 2024 over five years.
- On a year-over-year basis, EBITDA Margin has increased in each of the last 11 quarters, with an average year-over-year change of +16.72 percentage points over the last eight quarters.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q2 2021, with a gain of 207.89 percentage points; the weakest was Q1 2021, with a drop of 64.15 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was -60.79% (Q2 2025), -63.38% (Q1 2025) and -55.22% (Q4 2024).
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 | Pulmonx | 74.91 Mn | -244.31 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -65.73% |
| Jun 30, 2025 | -60.74% |
| Mar 31, 2025 | -63.33% |
| Dec 31, 2024 | -55.17% |
| Sep 30, 2024 | -67.41% |
| Jun 30, 2024 | -73.18% |
| Mar 31, 2024 | -74.77% |
| Dec 31, 2023 | -70.65% |
| Sep 30, 2023 | -83.47% |
| Jun 30, 2023 | -93.16% |
| Mar 31, 2023 | -109.76% |
| Dec 31, 2022 | -92.26% |
| Sep 30, 2022 | -100.24% |
| Jun 30, 2022 | -100.51% |
| Mar 31, 2022 | -141.70% |
| Dec 31, 2021 | -87.36% |
| Sep 30, 2021 | -71.87% |
| Jun 30, 2021 | -102.52% |
| Mar 31, 2021 | -133.21% |
| Dec 31, 2020 | -93.17% |
Pulmonx 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=LUNG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=LUNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();