Pulmonx (LUNG) Return on Sales [ROS] (2019 - 2025)
Pulmonx (LUNG) recorded Return on Sales [ROS] of -66.94% in Q3 2025, up 2.37 percentage points from -69.30% a year earlier but down 4.89 percentage points from the prior quarter.
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Analysis
Pulmonx (LUNG) Return on Sales [ROS] (2019 - 2025) Analysis & Trends
On a TTM basis, Pulmonx's Return on Sales [ROS] came in at -62.38% as of Sep 30, 2025, up 11.02 percentage points year-over-year; for FY2024, it was -68.87%, up 21.32 percentage points from FY2023.
- Annual Return on Sales [ROS] has a five-year change of -14.14 percentage points (FY2019 to FY2024).
- Across earlier years, Return on Sales [ROS] came in at -90.19% in FY2023 (+19.09 pp), -109.27% in FY2022 (-11.57 pp), -97.70% in FY2021 (+1.07 pp) and -98.77% in FY2020 (-44.05 pp).
- Quarterly Return on Sales [ROS] has ranged from -145.28% in Q1 2022 to -56.46% in Q4 2024 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has increased for 11 consecutive quarters, with an average year-over-year change of +17.39 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 209.88 percentage points in Q2 2021, against a drop of 64.33 percentage points in Q1 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at -62.05% (Q2 2025), -64.62% (Q1 2025) and -56.46% (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 13.31% |
| 10 | Pulmonx | 76.26 Mn | -242.96 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -66.94% |
| Jun 30, 2025 | -62.05% |
| Mar 31, 2025 | -64.62% |
| Dec 31, 2024 | -56.46% |
| Sep 30, 2024 | -69.30% |
| Jun 30, 2024 | -75.17% |
| Mar 31, 2024 | -77.10% |
| Dec 31, 2023 | -72.20% |
| Sep 30, 2023 | -85.90% |
| Jun 30, 2023 | -95.61% |
| Mar 31, 2023 | -112.83% |
| Dec 31, 2022 | -94.83% |
| Sep 30, 2022 | -103.18% |
| Jun 30, 2022 | -103.30% |
| Mar 31, 2022 | -145.28% |
| Dec 31, 2021 | -90.21% |
| Sep 30, 2021 | -73.61% |
| Jun 30, 2021 | -103.93% |
| Mar 31, 2021 | -135.16% |
| Dec 31, 2020 | -95.16% |
API Access
Pulmonx Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=LUNG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=LUNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();