Inspire Medical Systems (INSP) Selling, General & Administrative (2017 - 2026)
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Analysis
Inspire Medical Systems (INSP) Selling, General & Administrative (2017 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 2.32 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 4.27 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 2.16 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 633.40 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 3.20 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 2.31 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 1.68 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 560.90 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 1.26 Bn |
| 10 | Inspire Medical Systems | 1.80 Bn | 563.17 Mn | 177.86 Mn | 184.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 184.40 Mn |
| Jun 30, 2026 | 147.28 Mn |
| Mar 31, 2026 | 152.20 Mn |
| Dec 31, 2025 | 161.95 Mn |
| Sep 30, 2025 | 158.87 Mn |
| Jun 30, 2025 | 159.52 Mn |
| Mar 31, 2025 | 144.29 Mn |
| Dec 31, 2024 | 141.51 Mn |
| Sep 30, 2024 | 130.39 Mn |
| Jun 30, 2024 | 132.08 Mn |
| Mar 31, 2024 | 125.62 Mn |
| Dec 31, 2023 | 124.11 Mn |
| Sep 30, 2023 | 113.25 Mn |
| Jun 30, 2023 | 112.62 Mn |
| Mar 31, 2023 | 101.99 Mn |
| Dec 31, 2022 | 94.84 Mn |
| Sep 30, 2022 | 85.60 Mn |
| Jun 30, 2022 | 76.69 Mn |
| Mar 31, 2022 | 63.56 Mn |
| Dec 31, 2021 | 58.77 Mn |
API Access
Inspire Medical Systems Selling, General & Administrative 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=selling-general-and-administrative&ticker=INSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=INSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();