Hyperfine (HYPR) Cost of Revenue (2021 - 2026)
Hyperfine (HYPR) recorded Cost of Revenue of $1.92 million in Q2 2026, up 40.6% from $1.37 million a year earlier and unchanged from the prior quarter.
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Analysis
Hyperfine (HYPR) Cost of Revenue (2021 - 2026) Analysis & Trends
On a TTM basis, Hyperfine's Cost of Revenue came in at $8.04 million as of Jun 30, 2026, up 37.3% year-over-year; for FY2025, it came in at $6.81 million, down 2.7% from FY2024.
- Annual Cost of Revenue has a five-year compound annual growth rate of 54.6% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $7 million in FY2024 (+11.5%), $6.28 million in FY2023 (+6.2%), $5.91 million in FY2022 (+121.8%) and $2.66 million in FY2021 (+245.4%).
- Quarterly Cost of Revenue has ranged from $709,000 in Q3 2021 to $2.6 million in Q4 2025 over the past five years.
- On a year-over-year basis, Cost of Revenue has increased for three consecutive quarters, with growth averaging 16.7% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 271.6% in Q2 2022, against a decline of 35.4% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.92 million (Q1 2026), $2.6 million (Q4 2025) and $1.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Hyperfine | 80.98 Mn | -59.91 Mn | 1.98 Mn | 1.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.92 Mn |
| Mar 31, 2026 | 1.92 Mn |
| Dec 31, 2025 | 2.60 Mn |
| Sep 30, 2025 | 1.59 Mn |
| Jun 30, 2025 | 1.37 Mn |
| Mar 31, 2025 | 1.25 Mn |
| Dec 31, 2024 | 1.50 Mn |
| Sep 30, 2024 | 1.74 Mn |
| Jun 30, 2024 | 1.83 Mn |
| Mar 31, 2024 | 1.94 Mn |
| Dec 31, 2023 | 1.65 Mn |
| Sep 30, 2023 | 1.21 Mn |
| Jun 30, 2023 | 1.94 Mn |
| Mar 31, 2023 | 1.48 Mn |
| Dec 31, 2022 | 1.12 Mn |
| Sep 30, 2022 | 1.66 Mn |
| Jun 30, 2022 | 1.70 Mn |
| Mar 31, 2022 | 1.43 Mn |
| Dec 31, 2021 | 889,000.00 |
| Sep 30, 2021 | 709,000.00 |
API Access
Hyperfine Cost of 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=cost-of-revenue&ticker=HYPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=HYPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();