Inspire Medical Systems (INSP) Total Liabilities (2017 - 2026)
Inspire Medical Systems (INSP) recorded Total Liabilities of $126.08 million in Q3 2026, down 10.7% from $141.26 million a year earlier but up 25.6% from the prior quarter.
Inspire Medical Systems (INSP) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Inspire Medical Systems reported Total Liabilities of $126.16 million, up 6.3% from FY2024.
- Annual Total Liabilities has increased for eight straight years, with a five-year compound annual growth rate of 19.7% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $118.69 million in FY2024 (+13.8%), $104.3 million in FY2023 (+51.4%), $68.87 million in FY2022 (+4.3%) and $66.04 million in FY2021 (+28.4%).
- Quarterly Total Liabilities has ranged from $57.32 million in Q3 2022 to $141.26 million in Q3 2025 over the past five years.
- On a year-over-year basis, Total Liabilities rose in five of the last eight quarters, with growth averaging 11.6%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 66.3% in Q3 2023, against a decline of 19.3% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $100.41 million (Q2 2026), $119.04 million (Q1 2026) and $126.16 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 59.47 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 56.62 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 39.65 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 3.23 Bn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 23.79 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 19.59 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 3.18 Bn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Inspire Medical Systems | 1.83 Bn | 589.02 Mn | 177.86 Mn | 126.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 126.08 Mn |
| Jun 30, 2026 | 100.41 Mn |
| Mar 31, 2026 | 119.04 Mn |
| Dec 31, 2025 | 126.16 Mn |
| Sep 30, 2025 | 141.26 Mn |
| Jun 30, 2025 | 124.38 Mn |
| Mar 31, 2025 | 95.07 Mn |
| Dec 31, 2024 | 118.69 Mn |
| Sep 30, 2024 | 99.63 Mn |
| Jun 30, 2024 | 90.32 Mn |
| Mar 31, 2024 | 96.82 Mn |
| Dec 31, 2023 | 104.30 Mn |
| Sep 30, 2023 | 95.31 Mn |
| Jun 30, 2023 | 88.89 Mn |
| Mar 31, 2023 | 67.20 Mn |
| Dec 31, 2022 | 68.87 Mn |
| Sep 30, 2022 | 57.32 Mn |
| Jun 30, 2022 | 65.02 Mn |
| Mar 31, 2022 | 64.67 Mn |
| Dec 31, 2021 | 66.04 Mn |
Inspire Medical Systems 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=INSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "INSP", "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=INSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();