Hyperfine (HYPR) Assets (2020 - 2026)
Hyperfine's Assets was $63 million in Q2 2026, up 39.3% from $45.23 million a year earlier and up 4.4% from the prior quarter.
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Analysis
Hyperfine (HYPR) Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Assets at Hyperfine came in at $55.26 million, down 6.2% from FY2024.
- Assets has now declined for four consecutive years, with a five-year compound annual growth rate of -5.0% (FY2020 to FY2025).
- In earlier years, Assets was $58.9 million in FY2024 (-37.5%), $94.2 million in FY2023 (-29.7%), $134.05 million in FY2022 (-33.8%) and $202.47 million in FY2021 (+183.1%).
- The Q2 2026 figure marks the highest quarterly Assets since Q3 2024.
- Compared with a year earlier, Assets was higher in two of the last eight quarters, with an average decline of 17.8%.
- The best year-over-year quarter for Assets over five years was Q4 2021 (growth of 183.1%); the worst was Q2 2025 (a decline of 41.0%).
- Per Business Quant data, HYPR's Assets in the three quarters before Q2 2026 was $60.34 million (Q1 2026), $55.26 million (Q4 2025) and $41.51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 113.17 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 109.22 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 92.37 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 20.88 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 93.31 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 47.93 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 45.22 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 13.87 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 50.73 Bn |
| 10 | Hyperfine | 73.70 Mn | -67.19 Mn | 1.98 Mn | 63.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 63.00 Mn |
| Mar 31, 2026 | 60.34 Mn |
| Dec 31, 2025 | 55.26 Mn |
| Sep 30, 2025 | 41.51 Mn |
| Jun 30, 2025 | 45.23 Mn |
| Mar 31, 2025 | 53.38 Mn |
| Dec 31, 2024 | 58.90 Mn |
| Sep 30, 2024 | 69.39 Mn |
| Jun 30, 2024 | 76.61 Mn |
| Mar 31, 2024 | 85.44 Mn |
| Dec 31, 2023 | 94.20 Mn |
| Sep 30, 2023 | 103.06 Mn |
| Jun 30, 2023 | 112.61 Mn |
| Mar 31, 2023 | 122.10 Mn |
| Dec 31, 2022 | 134.05 Mn |
| Sep 30, 2022 | 148.33 Mn |
| Jun 30, 2022 | 161.71 Mn |
| Mar 31, 2022 | 178.83 Mn |
| Dec 31, 2021 | 202.47 Mn |
| Sep 30, 2021 | 207.94 Mn |
API Access
Hyperfine Assets 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=assets&ticker=HYPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "ticker": "HYPR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=assets&ticker=HYPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();