Pulmonx (LUNG) Cash & Equivalents (2019 - 2025)
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.
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Analysis
Pulmonx (LUNG) Cash & Equivalents (2019 - 2025) 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 | 241.25 Bn | 220.40 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Pulmonx | 79.60 Mn | -239.63 Mn | - | 69.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 188.08 Mn |
| Jun 30, 2021 | 198.70 Mn |
| Mar 31, 2021 | 209.28 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();