Hyperfine, Inc. (HYPR) Operating Expenses (2021 - 2026)
Hyperfine (HYPR) reported Operating Expenses of $10.45 million for Q2 2026, down 4.3% from $10.92 million a year earlier and down 0.8% from the prior quarter.
Hyperfine, Inc. (HYPR) Operating Expenses (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Hyperfine's Operating Expenses came in at $42.12 million, down 10.7% year-over-year; for FY2025, it was $43.84 million, down 10.7% from FY2024.
- Operating Expenses has declined for three consecutive years, though with a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- By year, Operating Expenses came in at $49.12 million in FY2024 (-7.1%), $52.87 million in FY2023 (-29.3%), $74.78 million in FY2022 (+17.4%) and $63.7 million in FY2021 (+176.8%).
- Five-year quarterly Operating Expenses spans a low of $10.36 million in Q4 2025 and a high of $25.63 million in Q4 2021.
- Year over year, Operating Expenses has now declined in each of the last 16 quarters, with an average decline of 8.2% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q1 2022 (growth of 216.9%); the low point was Q4 2022 (a decline of 45.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $10.54 million (Q1 2026), $10.36 million (Q4 2025) and $10.77 million (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.45 Mn |
| Mar 31, 2026 | 10.54 Mn |
| Dec 31, 2025 | 10.36 Mn |
| Sep 30, 2025 | 10.77 Mn |
| Jun 30, 2025 | 10.92 Mn |
| Mar 31, 2025 | 11.79 Mn |
| Dec 31, 2024 | 11.59 Mn |
| Sep 30, 2024 | 12.87 Mn |
| Jun 30, 2024 | 12.65 Mn |
| Mar 31, 2024 | 12.00 Mn |
| Dec 31, 2023 | 12.66 Mn |
| Sep 30, 2023 | 12.88 Mn |
| Jun 30, 2023 | 13.14 Mn |
| Mar 31, 2023 | 14.19 Mn |
| Dec 31, 2022 | 13.93 Mn |
| Sep 30, 2022 | 13.97 Mn |
| Jun 30, 2022 | 23.03 Mn |
| Mar 31, 2022 | 23.86 Mn |
| Dec 31, 2021 | 25.63 Mn |
| Sep 30, 2021 | 16.05 Mn |
Hyperfine, Inc. 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=operating-expenses&ticker=HYPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=HYPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();