Inspire Medical Systems (INSP) Accumulated Expenses (2017 - 2026)
Inspire Medical Systems (INSP) posted Accumulated Expenses of $59.27 million for Q3 2026, up 14.8% from $51.6 million a year earlier and up 34.4% from the prior quarter.
Inspire Medical Systems (INSP) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, Inspire Medical Systems' Accumulated Expenses came in at $59.49 million, up 19.4% from FY2024.
- Annual Accumulated Expenses has increased for eight consecutive years, with a five-year compound annual growth rate of 34.5% (FY2020 to FY2025).
- In prior years, Inspire Medical Systems' Accumulated Expenses was $49.81 million in FY2024 (+26.9%), $39.27 million in FY2023 (+14.3%), $34.34 million in FY2022 (+67.9%) and $20.45 million in FY2021 (+51.3%).
- Quarterly Accumulated Expenses has run from a low of $13.9 million in Q1 2022 to a high of $59.49 million in Q4 2025 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last 32 quarters, with growth averaging 23.4% over the last eight quarters.
- Over the past five years, the year-over-year growth in Accumulated Expenses ranged from 3.4% (Q3 2023) to 68.3% (Q1 2023).
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $44.08 million (Q2 2026), $47.57 million (Q1 2026) and $59.49 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn |
| 10 | Inspire Medical Systems | 1.80 Bn | 563.17 Mn | 177.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 59.27 Mn |
| Jun 30, 2026 | 44.08 Mn |
| Mar 31, 2026 | 47.57 Mn |
| Dec 31, 2025 | 59.49 Mn |
| Sep 30, 2025 | 51.60 Mn |
| Jun 30, 2025 | 40.20 Mn |
| Mar 31, 2025 | 34.33 Mn |
| Dec 31, 2024 | 49.81 Mn |
| Sep 30, 2024 | 39.34 Mn |
| Jun 30, 2024 | 32.04 Mn |
| Mar 31, 2024 | 28.37 Mn |
| Dec 31, 2023 | 39.27 Mn |
| Sep 30, 2023 | 29.96 Mn |
| Jun 30, 2023 | 26.73 Mn |
| Mar 31, 2023 | 23.39 Mn |
| Dec 31, 2022 | 34.34 Mn |
| Sep 30, 2022 | 28.99 Mn |
| Jun 30, 2022 | 18.57 Mn |
| Mar 31, 2022 | 13.90 Mn |
| Dec 31, 2021 | 20.45 Mn |
Inspire Medical Systems Accumulated 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=accumulated-expenses&ticker=INSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=INSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();