Pulmonx (LUNG) Return on Capital Employed [ROCE] (2020 - 2025)
Pulmonx (LUNG) posted Return on Capital Employed [ROCE] of -47.70% for Q3 2025, down 9.34 percentage points from -38.37% a year earlier and down 2.72 percentage points from the prior quarter.
Pulmonx (LUNG) Return on Capital Employed [ROCE] (2020 - 2025) Analysis & Trends
For FY2024, Pulmonx's Return on Capital Employed [ROCE] came in at -39.56%, down 1.46 percentage points from FY2023.
- Annual Return on Capital Employed [ROCE] has declined for three consecutive years, with a four-year change of -17.43 percentage points (FY2020 to FY2024).
- In prior years, Pulmonx's Return on Capital Employed [ROCE] was -38.10% in FY2023 (-8.17 pp), -29.93% in FY2022 (-9.53 pp), -20.40% in FY2021 (+1.73 pp) and -22.13% in FY2020.
- The Q3 2025 figure stands as the lowest quarterly Return on Capital Employed [ROCE] in data going back to Q4 2020.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined in each of the last 16 quarters, with an average year-over-year change of -5.02 percentage points over the last eight quarters.
- Across the past five years, year-over-year drop in Return on Capital Employed [ROCE] ran from 0.30 percentage points in Q4 2021 to 11.51 percentage points in Q4 2022.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -44.99% (Q2 2025), -43.79% (Q1 2025) and -41.02% (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 248.22 Bn | 227.25 Bn | 4.88 Bn | 8.30% |
| 2 | Abbott Laboratories | 178.33 Bn | 148.76 Bn | 7.27 Bn | 7.98% |
| 3 | Danaher | 159.74 Bn | 143.54 Bn | 3.61 Bn | 6.42% |
| 4 | Intuitive Surgical | 158.45 Bn | 138.74 Bn | 2.08 Bn | 18.68% |
| 5 | Medtronic | 122.77 Bn | 88.02 Bn | 6.34 Bn | 8.34% |
| 6 | Stryker | 118.25 Bn | 104.37 Bn | 4.50 Bn | 13.69% |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 10.83% |
| 8 | Becton Dickinson | 54.49 Bn | 51.64 Bn | 2.32 Bn | 6.00% |
| 9 | Edwards Lifesciences | 51.67 Bn | 35.68 Bn | 1.35 Bn | 11.99% |
| 10 | Pulmonx | 73.89 Mn | -245.34 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -47.70% |
| Jun 30, 2025 | -44.99% |
| Mar 31, 2025 | -43.79% |
| Dec 31, 2024 | -41.02% |
| Sep 30, 2024 | -38.37% |
| Jun 30, 2024 | -38.90% |
| Mar 31, 2024 | -40.08% |
| Dec 31, 2023 | -39.14% |
| Sep 30, 2023 | -37.16% |
| Jun 30, 2023 | -34.56% |
| Mar 31, 2023 | -32.91% |
| Dec 31, 2022 | -32.68% |
| Sep 30, 2022 | -30.35% |
| Jun 30, 2022 | -26.45% |
| Mar 31, 2022 | -23.89% |
| Dec 31, 2021 | -21.17% |
| Sep 30, 2021 | -19.63% |
| Jun 30, 2021 | -16.99% |
| Mar 31, 2021 | -15.80% |
| Dec 31, 2020 | -20.87% |
Pulmonx Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=LUNG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=LUNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();