Hyperfine (HYPR) Accumulated Expenses (2020 - 2026)
Hyperfine's Accumulated Expenses came in at $4.18 million for Q2 2026, up 21.8% from $3.43 million a year earlier and up 20.5% from the prior quarter.
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Analysis
Hyperfine (HYPR) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Hyperfine's Accumulated Expenses was $5.13 million, down 7.9% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 32.3% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $5.57 million in FY2024 (+2.8%), $5.42 million in FY2023 (-9.3%), $5.98 million in FY2022 (-26.4%) and $8.12 million in FY2021 (+542.0%).
- The five-year range for quarterly Accumulated Expenses is $3.43 million (Q2 2025) to $8.95 million (Q3 2022).
- Year-over-year, Accumulated Expenses increased in three of the last eight quarters, with an average decline of 5.8%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q4 2021 (growth of 542.0%), and the weakest in Q3 2023 (a decline of 41.3%).
- Business Quant data shows HYPR's Accumulated Expenses at $3.47 million (Q1 2026), $5.13 million (Q4 2025) and $4.51 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Hyperfine | 73.70 Mn | -67.19 Mn | 1.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.18 Mn |
| Mar 31, 2026 | 3.47 Mn |
| Dec 31, 2025 | 5.13 Mn |
| Sep 30, 2025 | 4.51 Mn |
| Jun 30, 2025 | 3.43 Mn |
| Mar 31, 2025 | 3.77 Mn |
| Dec 31, 2024 | 5.57 Mn |
| Sep 30, 2024 | 6.87 Mn |
| Jun 30, 2024 | 5.06 Mn |
| Mar 31, 2024 | 4.66 Mn |
| Dec 31, 2023 | 5.42 Mn |
| Sep 30, 2023 | 5.25 Mn |
| Jun 30, 2023 | 4.16 Mn |
| Mar 31, 2023 | 4.14 Mn |
| Dec 31, 2022 | 5.98 Mn |
| Sep 30, 2022 | 8.95 Mn |
| Jun 30, 2022 | 6.11 Mn |
| Mar 31, 2022 | 6.62 Mn |
| Dec 31, 2021 | 8.12 Mn |
| Dec 31, 2020 | 1.26 Mn |
API Access
Hyperfine Accumulated Expenses 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=accumulated-expenses&ticker=HYPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=HYPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();