Pulmonx (LUNG) Change in Accured Expenses (2019 - 2025)
Pulmonx's Change in Accured Expenses came in at $528,000 for Q3 2025, down 27.9% from $732,000 a year earlier and down 79.1% from the prior quarter.
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Analysis
Pulmonx (LUNG) Change in Accured Expenses (2019 - 2025) Analysis & Trends
Over the trailing twelve months to Sep 30, 2025, Pulmonx reported Change in Accured Expenses of $2.14 million; for FY2024, it came in at $462,000, down 85.5% from FY2023.
- Change in Accured Expenses carries a five-year compound annual growth rate of -32.8% (FY2019 to FY2024).
- Going back by year, Change in Accured Expenses was $3.18 million in FY2023, $149,000 in FY2022 (-96.9%), $4.8 million in FY2021 (+371.1%) and $1.02 million in FY2020 (-69.8%).
- The five-year range for quarterly Change in Accured Expenses is -$5.98 million (Q1 2024) to $3.98 million (Q4 2024).
- Year-over-year, Change in Accured Expenses increased in three of the last six quarters, with growth averaging 20.1%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q2 2021 (growth of 237.3%), and the weakest in Q3 2021 (a decline of 81.8%).
- Business Quant data shows LUNG's Change in Accured Expenses at $2.53 million (Q2 2025), -$4.89 million (Q1 2025) and $3.98 million (Q4 2024) in the three quarters before Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | - |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | -249.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 55.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 234.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 123.70 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | Pulmonx | 76.26 Mn | -242.96 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 528,000.00 |
| Jun 30, 2025 | 2.53 Mn |
| Mar 31, 2025 | -4.89 Mn |
| Dec 31, 2024 | 3.98 Mn |
| Sep 30, 2024 | 732,000.00 |
| Jun 30, 2024 | 1.74 Mn |
| Mar 31, 2024 | -5.98 Mn |
| Dec 31, 2023 | 2.25 Mn |
| Sep 30, 2023 | 422,000.00 |
| Jun 30, 2023 | 2.98 Mn |
| Mar 31, 2023 | -2.48 Mn |
| Dec 31, 2022 | 2.39 Mn |
| Sep 30, 2022 | -940,000.00 |
| Jun 30, 2022 | 1.02 Mn |
| Mar 31, 2022 | -2.31 Mn |
| Dec 31, 2021 | 1.51 Mn |
| Sep 30, 2021 | 365,000.00 |
| Jun 30, 2021 | 1.18 Mn |
| Mar 31, 2021 | 1.74 Mn |
| Dec 31, 2020 | 709,000.00 |
API Access
Pulmonx Change in Accured 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=change-in-accured-expenses&ticker=LUNG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=LUNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();