Inogen (INGN) Total Non-Current Liabilities (2013 - 2026)
Inogen (INGN) recorded Total Non-Current Liabilities of $92.75 million in Q2 2026, down 2.9% from $95.56 million a year earlier but up 9.6% from the prior quarter.
Inogen (INGN) Total Non-Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Inogen reported Total Non-Current Liabilities of $88.2 million, down 16.8% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -3.2% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $105.98 million in FY2024 (-1.4%), $107.53 million in FY2023 (+12.6%), $95.51 million in FY2022 (-14.8%) and $112.04 million in FY2021 (+8.2%).
- Quarterly Total Non-Current Liabilities has ranged from $84.63 million in Q1 2026 to $113.33 million in Q3 2021 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined for seven consecutive quarters, with an average decline of 7.6% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 21.2% in Q2 2024, against a decline of 18.2% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $84.63 million (Q1 2026), $88.2 million (Q4 2025) and $92.02 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Inogen | 140.87 Mn | -317.64 Mn | 43.27 Mn | 92.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 92.75 Mn |
| Mar 31, 2026 | 84.63 Mn |
| Dec 31, 2025 | 88.20 Mn |
| Sep 30, 2025 | 92.02 Mn |
| Jun 30, 2025 | 95.56 Mn |
| Mar 31, 2025 | 94.23 Mn |
| Dec 31, 2024 | 105.98 Mn |
| Sep 30, 2024 | 104.59 Mn |
| Jun 30, 2024 | 105.43 Mn |
| Mar 31, 2024 | 108.27 Mn |
| Dec 31, 2023 | 107.53 Mn |
| Sep 30, 2023 | 99.74 Mn |
| Jun 30, 2023 | 86.98 Mn |
| Mar 31, 2023 | 92.36 Mn |
| Dec 31, 2022 | 95.51 Mn |
| Sep 30, 2022 | 111.11 Mn |
| Jun 30, 2022 | 106.39 Mn |
| Mar 31, 2022 | 109.76 Mn |
| Dec 31, 2021 | 112.04 Mn |
| Sep 30, 2021 | 113.33 Mn |
Inogen Total Non-Current 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-non-current-liabilities&ticker=INGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=INGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();