Inogen (INGN) Total Liabilities (2013 - 2026)
Inogen (INGN) recorded Total Liabilities of $110.71 million in Q2 2026, down 1.6% from $112.55 million a year earlier but up 7.5% from the prior quarter.
Inogen (INGN) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Inogen reported Total Liabilities of $106.39 million, down 13.0% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $122.33 million in FY2024 (+0.8%), $121.38 million in FY2023 (+12.8%), $107.64 million in FY2022 (-9.8%) and $119.29 million in FY2021 (+6.3%).
- Quarterly Total Liabilities has ranged from $99.57 million in Q2 2023 to $123.7 million in Q1 2024 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for six consecutive quarters, with an average decline of 5.1% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 21.8% in Q2 2024, against a decline of 13.0% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $103.02 million (Q1 2026), $106.39 million (Q4 2025) and $109.83 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Inogen | 143.54 Mn | -314.97 Mn | 43.27 Mn | 110.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 110.71 Mn |
| Mar 31, 2026 | 103.02 Mn |
| Dec 31, 2025 | 106.39 Mn |
| Sep 30, 2025 | 109.83 Mn |
| Jun 30, 2025 | 112.55 Mn |
| Mar 31, 2025 | 110.46 Mn |
| Dec 31, 2024 | 122.33 Mn |
| Sep 30, 2024 | 120.77 Mn |
| Jun 30, 2024 | 121.32 Mn |
| Mar 31, 2024 | 123.70 Mn |
| Dec 31, 2023 | 121.38 Mn |
| Sep 30, 2023 | 113.07 Mn |
| Jun 30, 2023 | 99.57 Mn |
| Mar 31, 2023 | 104.38 Mn |
| Dec 31, 2022 | 107.64 Mn |
| Sep 30, 2022 | 118.74 Mn |
| Jun 30, 2022 | 113.53 Mn |
| Mar 31, 2022 | 116.33 Mn |
| Dec 31, 2021 | 119.29 Mn |
| Sep 30, 2021 | 121.94 Mn |
Inogen Total Liabilities 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=total-liabilities&ticker=INGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "INGN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=INGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();