Pulmonx (LUNG) Total Non-Current Liabilities (2019 - 2025)
Pulmonx's Total Non-Current Liabilities was $75.18 million in Q4 2025.
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Analysis
Pulmonx (LUNG) Total Non-Current Liabilities (2019 - 2025) Analysis & Trends
From Q4 2019 onward, Pulmonx has reported Total Non-Current Liabilities for 7 quarters.
- Total Non-Current Liabilities shows a four-year compound annual growth rate of 15.8% (FY2021 to FY2025).
- In earlier years, Total Non-Current Liabilities was $41.76 million in FY2021.
- The Q4 2025 figure marks the highest quarterly Total Non-Current Liabilities since Q3 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.37 Bn | 238.40 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 170.68 Bn | 141.11 Bn | 7.27 Bn | - |
| 3 | Danaher | 162.92 Bn | 146.73 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 149.89 Bn | 129.32 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.39 Bn | 84.64 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 112.76 Bn | 98.87 Bn | 4.50 Bn | 20.88 Bn |
| 7 | Boston Scientific | 64.67 Bn | 59.44 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 53.19 Bn | 50.34 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.41 Bn | 34.41 Bn | 1.35 Bn | 2.19 Bn |
| 10 | Pulmonx | 75.12 Mn | -244.11 Mn | - | 75.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 75.18 Mn |
| Sep 30, 2022 | 38.72 Mn |
| Jun 30, 2022 | 40.37 Mn |
| Mar 31, 2022 | 40.53 Mn |
| Dec 31, 2021 | 41.76 Mn |
| Sep 30, 2020 | 276.23 Mn |
| Dec 31, 2019 | 239.71 Mn |
API Access
Pulmonx Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=LUNG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=LUNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();