Pulmonx (LUNG) Net Long-Term Debt Issued (Repaid) (2020 - 2025)
Pulmonx (LUNG) posted Net Long-Term Debt Issued (Repaid) of -$1,000 for Q3 2025.
Powered by 
Analysis
Pulmonx (LUNG) Net Long-Term Debt Issued (Repaid) (2020 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, Net Long-Term Debt Issued (Repaid) at Pulmonx was -$98,000; for FY2024, it came in at -$95,000.
- In prior years, Pulmonx's Net Long-Term Debt Issued (Repaid) was $19.91 million in FY2023, -$87,000 in FY2022 and $32.99 million in FY2020 (+449.9%).
- The Q3 2025 figure stands as the highest quarterly Net Long-Term Debt Issued (Repaid) since Q1 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | -1.11 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | -1.33 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | - |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | - |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | -2.00 Bn |
| 10 | Pulmonx | 116.67 Mn | -202.56 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -1,000.00 |
| Jun 30, 2025 | -48,000.00 |
| Dec 31, 2024 | -49,000.00 |
| Dec 31, 2023 | -47,000.00 |
| Mar 31, 2023 | 20.00 Mn |
| Dec 31, 2022 | -43,000.00 |
| Jun 30, 2020 | 33.48 Mn |
| Mar 31, 2020 | -484,000.00 |
API Access
Pulmonx Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=LUNG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=LUNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();