Hyperfine (HYPR) Net Margin (2021 - 2026)
Hyperfine's Net Margin was -238.17% in Q2 2026, up 104.01 percentage points from -342.17% a year earlier but down 17.23 percentage points from the prior quarter.
Hyperfine (HYPR) Net Margin (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hyperfine's Net Margin was -210.75% through Jun 30, 2026, up 153.78 percentage points year-over-year; for FY2025, it came in at -262.29%, up 53.62 percentage points from FY2024.
- Net Margin has now increased for five consecutive years, with a five-year change of +7706.08 percentage points (FY2020 to FY2025).
- In earlier years, Net Margin was -315.90% in FY2024 (+85.09 pp), -401.00% in FY2023 (+672.73 pp), -1073.73% in FY2022 (+3261.23 pp) and -4334.96% in FY2021 (+3633.41 pp).
- Quarterly Net Margin has moved between -5982.80% (Q4 2021) and -111.69% (Q4 2025) over five years.
- Compared with a year earlier, Net Margin has increased for three straight quarters, with an average year-over-year change of +68.33 percentage points over the last eight quarters.
- The best year-over-year quarter for Net Margin over five years was Q4 2022 (a gain of 5065.73 percentage points); the worst was Q1 2025 (a drop of 141.83 percentage points).
- Per Business Quant data, HYPR's Net Margin in the three quarters before Q2 2026 was -220.93% (Q1 2026), -111.69% (Q4 2025) and -320.60% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 14.47% |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 7.37% |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 13.89% |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 28.29% |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 15.07% |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 19.37% |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 16.67% |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 13.89% |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 7.57% |
| 10 | Hyperfine | 73.70 Mn | -67.19 Mn | 1.98 Mn | -238.17% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -238.17% |
| Mar 31, 2026 | -220.93% |
| Dec 31, 2025 | -111.69% |
| Sep 30, 2025 | -320.60% |
| Jun 30, 2025 | -342.17% |
| Mar 31, 2025 | -440.71% |
| Dec 31, 2024 | -447.65% |
| Sep 30, 2024 | -283.45% |
| Jun 30, 2024 | -279.70% |
| Mar 31, 2024 | -298.88% |
| Dec 31, 2023 | -397.77% |
| Sep 30, 2023 | -461.67% |
| Jun 30, 2023 | -314.61% |
| Mar 31, 2023 | -461.48% |
| Dec 31, 2022 | -917.06% |
| Sep 30, 2022 | -560.95% |
| Jun 30, 2022 | -1,510.70% |
| Mar 31, 2022 | -1,575.55% |
| Dec 31, 2021 | -5,982.80% |
| Sep 30, 2021 | -4,418.33% |
Hyperfine Net Margin 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=net-margin&ticker=HYPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=HYPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();