Pulmonx (LUNG) Total Liabilities (2019 - 2025)
Pulmonx's Total Liabilities came in at $75.18 million for Q4 2025, down 2.4% from $77.04 million a year earlier and down 3.9% from the prior quarter.
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Analysis
Pulmonx (LUNG) Total Liabilities (2019 - 2025) Analysis & Trends
Going back to Q4 2019, Pulmonx's Total Liabilities data covers 23 quarters.
- Total Liabilities carries a five-year compound annual growth rate of 14.9% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $77.04 million in FY2024 (+29.6%), $59.47 million in FY2023 (+49.9%), $39.67 million in FY2022 (-5.4%) and $41.93 million in FY2021 (+11.6%).
- The five-year range for quarterly Total Liabilities is $38.72 million (Q3 2022) to $78.25 million (Q3 2025).
- Year-over-year, Total Liabilities increased in six of the last eight quarters, with growth averaging 14.6%.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2023 (growth of 53.1%), and the weakest in Q3 2021 (a decline of 84.2%).
- Business Quant data shows LUNG's Total Liabilities at $78.25 million (Q3 2025), $78.1 million (Q2 2025) and $73.07 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.09 Bn | 236.12 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 171.50 Bn | 141.93 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 161.89 Bn | 145.70 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 151.21 Bn | 130.63 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 119.70 Bn | 84.95 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 65.17 Bn | 59.94 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 53.53 Bn | 50.67 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.80 Bn | 34.81 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Pulmonx | 74.71 Mn | -244.52 Mn | - | 75.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 75.18 Mn |
| Sep 30, 2025 | 78.25 Mn |
| Jun 30, 2025 | 78.10 Mn |
| Mar 31, 2025 | 73.07 Mn |
| Dec 31, 2024 | 77.04 Mn |
| Sep 30, 2024 | 73.48 Mn |
| Jun 30, 2024 | 71.44 Mn |
| Mar 31, 2024 | 54.09 Mn |
| Dec 31, 2023 | 59.47 Mn |
| Sep 30, 2023 | 59.27 Mn |
| Jun 30, 2023 | 59.16 Mn |
| Mar 31, 2023 | 57.34 Mn |
| Dec 31, 2022 | 39.67 Mn |
| Sep 30, 2022 | 38.72 Mn |
| Jun 30, 2022 | 40.55 Mn |
| Mar 31, 2022 | 40.70 Mn |
| Dec 31, 2021 | 41.93 Mn |
| Sep 30, 2021 | 43.99 Mn |
| Jun 30, 2021 | 40.07 Mn |
| Mar 31, 2021 | 39.12 Mn |
API Access
Pulmonx Total 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-liabilities&ticker=LUNG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=LUNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();