Hyperfine (HYPR) Other Operating Expenses (2021 - 2026)
Hyperfine's Other Operating Expenses was $2.68 million in Q2 2026, up 6.1% from $2.52 million a year earlier and up 4.5% from the prior quarter.
Hyperfine (HYPR) Other Operating Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hyperfine's Other Operating Expenses was $10.31 million through Jun 30, 2026, up 4.0% year-over-year; for FY2025, it was $10.13 million, up 11.1% from FY2024.
- Other Operating Expenses shows a five-year compound annual growth rate of 32.3% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $9.12 million in FY2024 (-9.7%), $10.1 million in FY2023 (-28.9%), $14.22 million in FY2022 (+37.2%) and $10.36 million in FY2021 (+314.5%).
- The Q2 2026 figure marks the highest quarterly Other Operating Expenses since Q4 2022.
- Compared with a year earlier, Other Operating Expenses has increased for six straight quarters, with growth averaging 5.7% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was Q1 2022 (growth of 247.9%); the worst was Q1 2023 (a decline of 38.8%).
- Per Business Quant data, HYPR's Other Operating Expenses in the three quarters before Q2 2026 was $2.56 million (Q1 2026), $2.5 million (Q4 2025) and $2.57 million (Q3 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.68 Mn |
| Mar 31, 2026 | 2.56 Mn |
| Dec 31, 2025 | 2.50 Mn |
| Sep 30, 2025 | 2.57 Mn |
| Jun 30, 2025 | 2.52 Mn |
| Mar 31, 2025 | 2.54 Mn |
| Dec 31, 2024 | 2.35 Mn |
| Sep 30, 2024 | 2.50 Mn |
| Jun 30, 2024 | 2.27 Mn |
| Mar 31, 2024 | 2.00 Mn |
| Dec 31, 2023 | 2.53 Mn |
| Sep 30, 2023 | 2.53 Mn |
| Jun 30, 2023 | 2.50 Mn |
| Mar 31, 2023 | 2.55 Mn |
| Dec 31, 2022 | 2.87 Mn |
| Sep 30, 2022 | 3.43 Mn |
| Jun 30, 2022 | 3.75 Mn |
| Mar 31, 2022 | 4.16 Mn |
| Dec 31, 2021 | 4.59 Mn |
| Sep 30, 2021 | 2.79 Mn |
Hyperfine Other Operating 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=other-operating-expenses&ticker=HYPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=HYPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();