Pulmonx (LUNG) Return on Sales [ROS] (2019 - 2026)
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.
Pulmonx (LUNG) Return on Sales [ROS] (2019 - 2026) 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 18.65% |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 10.44% |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 19.00% |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 19.44% |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 15.86% |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 16.12% |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 17.44% |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 6.36% |
| 10 | Pulmonx | 121.94 Mn | -117.95 Mn | 17.40 Mn | -32.80% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -32.80% |
| Jun 30, 2026 | -39.80% |
| Mar 31, 2026 | -62.94% |
| Dec 31, 2025 | -43.82% |
| 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% |
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_KEY
import 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();