Inogen (INGN) Operating Expenses (2013 - 2026)
Inogen (INGN) posted Operating Expenses of $48.37 million for Q2 2026, up 1.9% from $47.47 million a year earlier and up 2.5% from the prior quarter.
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Analysis
Inogen (INGN) Operating Expenses (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Inogen was $188.54 million, up 0.1% year-over-year; for FY2025, it came in at $184.47 million, down 6.5% from FY2024.
- Annual Operating Expenses has declined for three consecutive years, though with a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- In prior years, Inogen's Operating Expenses was $197.26 million in FY2024 (-16.4%), $236.09 million in FY2023 (-1.1%), $238.78 million in FY2022 (+42.8%) and $167.24 million in FY2021 (+11.3%).
- Quarterly Operating Expenses has run from a low of $41.31 million in Q3 2021 to a high of $87.96 million in Q4 2022 over five years.
- On a year-over-year basis, Operating Expenses increased in two of the last eight quarters, with an average decline of 9.0%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2022, with growth of 94.3%; the weakest was Q3 2024, with a decline of 39.0%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $47.2 million (Q1 2026), $44.54 million (Q4 2025) and $48.43 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Inogen | 143.54 Mn | -314.97 Mn | 43.27 Mn | 48.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.37 Mn |
| Mar 31, 2026 | 47.20 Mn |
| Dec 31, 2025 | 44.54 Mn |
| Sep 30, 2025 | 48.43 Mn |
| Jun 30, 2025 | 47.47 Mn |
| Mar 31, 2025 | 44.03 Mn |
| Dec 31, 2024 | 47.68 Mn |
| Sep 30, 2024 | 49.14 Mn |
| Jun 30, 2024 | 49.80 Mn |
| Mar 31, 2024 | 50.65 Mn |
| Dec 31, 2023 | 57.14 Mn |
| Sep 30, 2023 | 80.49 Mn |
| Jun 30, 2023 | 45.81 Mn |
| Mar 31, 2023 | 52.65 Mn |
| Dec 31, 2022 | 87.96 Mn |
| Sep 30, 2022 | 53.09 Mn |
| Jun 30, 2022 | 49.13 Mn |
| Mar 31, 2022 | 48.59 Mn |
| Dec 31, 2021 | 45.26 Mn |
| Sep 30, 2021 | 41.31 Mn |
API Access
Inogen Operating 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=operating-expenses&ticker=INGN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=INGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();