Hyperfine (HYPR) Receivables (2020 - 2026)
Hyperfine (HYPR) recorded Receivables of $5.79 million in Q2 2026, down 16.7% from $6.95 million a year earlier and down 0.1% from the prior quarter.
Powered by 
Analysis
Hyperfine (HYPR) Receivables (2020 - 2026) Analysis & Trends
At the end of FY2025, Hyperfine reported Receivables of $7.45 million, down 10.3% from FY2024.
- Annual Receivables has a five-year compound annual growth rate of 35.4% (FY2020 to FY2025).
- Across earlier years, Receivables came in at $8.31 million in FY2024 (+101.0%), $4.13 million in FY2023 (+61.6%), $2.56 million in FY2022 (+297.0%) and $644,000 in FY2021 (-60.7%).
- The Q2 2026 figure is the lowest quarterly Receivables since Q4 2023.
- On a year-over-year basis, Receivables has declined for five consecutive quarters, with growth averaging 26.5% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 351.0% in Q4 2022, against a decline of 30.4% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.8 million (Q1 2026), $6.52 million (Q4 2025) and $6.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.70 Bn | 237.73 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 171.57 Bn | 142.00 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 162.29 Bn | 146.10 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 150.18 Bn | 129.60 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 119.47 Bn | 84.72 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 113.91 Bn | 100.03 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 65.30 Bn | 60.07 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Becton Dickinson | 53.51 Bn | 50.66 Bn | 2.32 Bn | 2.36 Bn |
| 9 | Edwards Lifesciences | 50.73 Bn | 34.74 Bn | 1.35 Bn | 955.70 Mn |
| 10 | Hyperfine | 73.31 Mn | -67.57 Mn | 1.98 Mn | 5.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.79 Mn |
| Mar 31, 2026 | 5.80 Mn |
| Dec 31, 2025 | 6.52 Mn |
| Sep 30, 2025 | 6.31 Mn |
| Jun 30, 2025 | 6.95 Mn |
| Mar 31, 2025 | 7.27 Mn |
| Dec 31, 2024 | 8.31 Mn |
| Sep 30, 2024 | 9.06 Mn |
| Jun 30, 2024 | 7.49 Mn |
| Mar 31, 2024 | 6.24 Mn |
| Dec 31, 2023 | 4.13 Mn |
| Sep 30, 2023 | 3.12 Mn |
| Jun 30, 2023 | 4.61 Mn |
| Mar 31, 2023 | 3.73 Mn |
| Dec 31, 2022 | 2.56 Mn |
| Sep 30, 2022 | 4.18 Mn |
| Jun 30, 2022 | 3.11 Mn |
| Mar 31, 2022 | 2.42 Mn |
| Dec 31, 2021 | 567,000.00 |
| Dec 31, 2020 | 204,000.00 |
API Access
Hyperfine Receivables 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=receivables&ticker=HYPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=HYPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();