Hyperfine (HYPR) Revenue (2021 - 2026)
Hyperfine (HYPR) posted Revenue of $3.9 million for Q2 2026, up 44.8% from $2.7 million a year earlier and unchanged from the prior quarter.
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Analysis
Hyperfine (HYPR) Revenue (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Hyperfine was $16.54 million, up 53.2% year-over-year; for FY2025, it was $13.56 million, up 5.2% from FY2024.
- Annual Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 115.2% (FY2020 to FY2025).
- In prior years, Hyperfine's Revenue was $12.89 million in FY2024 (+16.8%), $11.03 million in FY2023 (+61.9%), $6.81 million in FY2022 (+355.5%) and $1.5 million in FY2021 (+408.8%).
- Quarterly Revenue has run from a low of $371,000 in Q3 2021 to a high of $5.29 million in Q4 2025 over five years.
- On a year-over-year basis, Revenue has increased in each of the last three quarters, with growth averaging 29.0% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q3 2022, with growth of 532.9%; the weakest was Q1 2025, with a decline of 35.1%.
- According to Business Quant data, Revenue for the three prior quarters was $3.9 million (Q1 2026), $5.29 million (Q4 2025) and $3.44 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 11.99 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | 12.59 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 6.27 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | 2.89 Bn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 9.76 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 6.59 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 5.44 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 4.98 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 1.74 Bn |
| 10 | Hyperfine | 76.76 Mn | -64.12 Mn | 1.98 Mn | 3.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.90 Mn |
| Mar 31, 2026 | 3.90 Mn |
| Dec 31, 2025 | 5.29 Mn |
| Sep 30, 2025 | 3.44 Mn |
| Jun 30, 2025 | 2.70 Mn |
| Mar 31, 2025 | 2.14 Mn |
| Dec 31, 2024 | 2.32 Mn |
| Sep 30, 2024 | 3.64 Mn |
| Jun 30, 2024 | 3.63 Mn |
| Mar 31, 2024 | 3.30 Mn |
| Dec 31, 2023 | 2.69 Mn |
| Sep 30, 2023 | 2.33 Mn |
| Jun 30, 2023 | 3.38 Mn |
| Mar 31, 2023 | 2.64 Mn |
| Dec 31, 2022 | 1.42 Mn |
| Sep 30, 2022 | 2.35 Mn |
| Jun 30, 2022 | 1.53 Mn |
| Mar 31, 2022 | 1.51 Mn |
| Dec 31, 2021 | 436,000.00 |
| Sep 30, 2021 | 371,000.00 |
API Access
Hyperfine Revenue 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=revenue&ticker=HYPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=HYPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();