Pulmonx (LUNG) Cash & Equivalents (2019 - 2026)
Pulmonx (LUNG) recorded Cash & Equivalents of $69.75 million in Q4 2025, down 1.6% from $70.91 million a year earlier and down 8.9% from the prior quarter.
Powered by 
Analysis
Pulmonx (LUNG) Cash & Equivalents (2019 - 2026) Analysis & Trends
Starting with Q3 2019, Pulmonx's Cash & Equivalents history includes 26 quarters.
- Annual Cash & Equivalents has declined for five straight years, with a five-year compound annual growth rate of -21.3% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $70.91 million in FY2024 (-15.1%), $83.55 million in FY2023 (-17.9%), $101.74 million in FY2022 (-31.5%) and $148.48 million in FY2021 (-35.9%).
- The Q4 2025 figure is the lowest quarterly Cash & Equivalents since Q3 2024.
- On a year-over-year basis, Cash & Equivalents rose in three of the last eight quarters, with an average decline of 9.7%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 372.5% in Q3 2021, against a decline of 40.2% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $76.55 million (Q3 2025), $75.47 million (Q2 2025) and $74.56 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 5.46 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 4.05 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 5.68 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 2.98 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 3.27 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 609.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 3.11 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 2.32 Bn |
| 10 | Pulmonx | 121.94 Mn | -117.95 Mn | 17.40 Mn | 52.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 52.70 Mn |
| Jun 30, 2026 | 55.84 Mn |
| Mar 31, 2026 | 61.60 Mn |
| Dec 31, 2025 | 69.75 Mn |
| Sep 30, 2025 | 76.55 Mn |
| Jun 30, 2025 | 75.47 Mn |
| Mar 31, 2025 | 74.56 Mn |
| Dec 31, 2024 | 70.91 Mn |
| Sep 30, 2024 | 63.31 Mn |
| Jun 30, 2024 | 63.46 Mn |
| Mar 31, 2024 | 70.16 Mn |
| Dec 31, 2023 | 83.55 Mn |
| Sep 30, 2023 | 94.95 Mn |
| Jun 30, 2023 | 101.58 Mn |
| Mar 31, 2023 | 110.41 Mn |
| Dec 31, 2022 | 101.74 Mn |
| Sep 30, 2022 | 112.40 Mn |
| Jun 30, 2022 | 121.95 Mn |
| Mar 31, 2022 | 129.17 Mn |
| Dec 31, 2021 | 148.48 Mn |
API Access
Pulmonx Cash & Equivalents 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=cash-and-equivalents&ticker=LUNG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LUNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();