Inspire Medical Systems (INSP) Non-Current Debt (2017 - 2022)
Inspire Medical Systems (INSP) posted Non-Current Debt of $9.8 million for Q2 2022, down 55.1% from $21.8 million a year earlier and down 23.5% from the prior quarter.
Inspire Medical Systems (INSP) Non-Current Debt (2017 - 2022) Analysis & Trends
At the end of FY2021, Inspire Medical Systems' Non-Current Debt came in at $15.8 million, down 36.2% from FY2020.
- Annual Non-Current Debt shows a four-year compound annual growth rate of -1.0% (FY2017 to FY2021).
- In prior years, Inspire Medical Systems' Non-Current Debt was $24.75 million in FY2020 (+0.9%), $24.52 million in FY2019 (-1.6%), $24.93 million in FY2018 (+51.4%) and $16.46 million in FY2017.
- The Q2 2022 figure stands as the lowest quarterly Non-Current Debt in data going back to Q4 2017.
- On a year-over-year basis, Non-Current Debt has declined in each of the last five quarters, with an average decline of 21.5% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Debt in the past five years was Q4 2018, with growth of 51.4%; the weakest was Q2 2022, with a decline of 55.1%.
- According to Business Quant data, Non-Current Debt for the three prior quarters was $12.8 million (Q1 2022), $15.8 million (Q4 2021) and $18.8 million (Q3 2021).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 39.18 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 29.60 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 25.15 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 25.62 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 14.19 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 10.92 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 598.70 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 13.51 Bn |
| 10 | Inspire Medical Systems | 2.12 Bn | 881.50 Mn | 171.46 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 9.80 Mn |
| Mar 31, 2022 | 12.80 Mn |
| Dec 31, 2021 | 15.80 Mn |
| Sep 30, 2021 | 18.80 Mn |
| Jun 30, 2021 | 21.80 Mn |
| Mar 31, 2021 | 24.80 Mn |
| Dec 31, 2020 | 24.75 Mn |
| Sep 30, 2020 | 24.69 Mn |
| Jun 30, 2020 | 24.63 Mn |
| Mar 31, 2020 | 24.58 Mn |
| Dec 31, 2019 | 24.52 Mn |
| Sep 30, 2019 | 24.47 Mn |
| Jun 30, 2019 | 24.42 Mn |
| Mar 31, 2019 | 24.36 Mn |
| Dec 31, 2018 | 24.93 Mn |
| Sep 30, 2018 | 24.81 Mn |
| Jun 30, 2018 | 21.97 Mn |
| Mar 31, 2018 | 23.89 Mn |
| Dec 31, 2017 | 16.46 Mn |
Inspire Medical Systems Non-Current Debt 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=non-current-debt&ticker=INSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=INSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();