Pulmonx (LUNG) Accumulated Expenses (2019 - 2026)
Pulmonx (LUNG) reported Accumulated Expenses of $14.56 million for Q4 2025, down 11.6% from $16.47 million a year earlier and down 2.5% from the prior quarter.
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Analysis
Pulmonx (LUNG) Accumulated Expenses (2019 - 2026) Analysis & Trends
Dating back to Q4 2019, Pulmonx's Accumulated Expenses record includes 23 quarters.
- Accumulated Expenses has a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $16.47 million in FY2024 (+1.5%), $16.23 million in FY2023 (+22.3%), $13.28 million in FY2022 (-0.7%) and $13.37 million in FY2021 (+54.5%).
- Five-year quarterly Accumulated Expenses spans a low of $10.07 million in Q1 2024 and a high of $16.47 million in Q4 2024.
- Year over year, Accumulated Expenses gained in four of the last eight quarters, with growth averaging 2.3%.
- The high point for year-over-year Accumulated Expenses in five years was Q4 2021 (growth of 54.5%); the low point was Q3 2022 (a decline of 13.2%).
- Per Business Quant data, the three quarters before Q4 2025 came in at $14.94 million (Q3 2025), $14.39 million (Q2 2025) and $11.55 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn |
| 10 | Pulmonx | 121.94 Mn | -117.95 Mn | 17.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.56 Mn |
| Jun 30, 2026 | 14.07 Mn |
| Mar 31, 2026 | 13.73 Mn |
| Dec 31, 2025 | 14.56 Mn |
| Sep 30, 2025 | 14.94 Mn |
| Jun 30, 2025 | 14.39 Mn |
| Mar 31, 2025 | 11.55 Mn |
| Dec 31, 2024 | 16.47 Mn |
| Sep 30, 2024 | 12.78 Mn |
| Jun 30, 2024 | 11.78 Mn |
| Mar 31, 2024 | 10.07 Mn |
| Dec 31, 2023 | 16.23 Mn |
| Sep 30, 2023 | 13.68 Mn |
| Jun 30, 2023 | 13.56 Mn |
| Mar 31, 2023 | 10.63 Mn |
| Dec 31, 2022 | 13.28 Mn |
| Sep 30, 2022 | 10.74 Mn |
| Jun 30, 2022 | 11.73 Mn |
| Mar 31, 2022 | 10.87 Mn |
| Dec 31, 2021 | 13.37 Mn |
API Access
Pulmonx Accumulated Expenses 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=accumulated-expenses&ticker=LUNG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=LUNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();