Pulmonx (LUNG) Operating Expenses (2019 - 2025)
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Analysis
Pulmonx (LUNG) Operating Expenses (2019 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 9.87 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 11.66 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 2.59 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 1.49 Bn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 3.21 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 2.60 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 844.30 Mn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Pulmonx | 116.67 Mn | -202.56 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 30.45 Mn |
| Jun 30, 2025 | 32.01 Mn |
| Mar 31, 2025 | 30.91 Mn |
| Dec 31, 2024 | 31.01 Mn |
| Sep 30, 2024 | 29.16 Mn |
| Jun 30, 2024 | 30.93 Mn |
| Mar 31, 2024 | 28.61 Mn |
| Dec 31, 2023 | 28.32 Mn |
| Sep 30, 2023 | 28.21 Mn |
| Jun 30, 2023 | 29.17 Mn |
| Mar 31, 2023 | 26.99 Mn |
| Dec 31, 2022 | 25.81 Mn |
| Sep 30, 2022 | 24.08 Mn |
| Jun 30, 2022 | 24.83 Mn |
| Mar 31, 2022 | 23.78 Mn |
| Dec 31, 2021 | 22.62 Mn |
| Sep 30, 2021 | 19.50 Mn |
| Jun 30, 2021 | 21.71 Mn |
| Mar 31, 2021 | 19.11 Mn |
| Dec 31, 2020 | 16.43 Mn |
API Access
Pulmonx Operating Expenses 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=operating-expenses&ticker=LUNG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LUNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();