Hyperfine (HYPR) Change in Accured Expenses (2021 - 2026)
Hyperfine (HYPR) posted Change in Accured Expenses of $770,000 for Q2 2026, compared with $31,000 a year earlier.
Hyperfine (HYPR) Change in Accured Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Hyperfine was $839,000; for FY2025, it came in at $332,000.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of -15.6% (FY2020 to FY2025).
- In prior years, Hyperfine's Change in Accured Expenses was -$683,000 in FY2024, -$742,000 in FY2023, -$2.15 million in FY2022 and $6.85 million in FY2021 (+786.3%).
- Quarterly Change in Accured Expenses has run from a low of -$2.97 million in Q4 2022 to a high of $4.82 million in Q4 2021 over five years.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$1.67 million (Q1 2026), $553,000 (Q4 2025) and $1.18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | - |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | -249.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 55.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 234.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 123.70 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | Hyperfine | 80.98 Mn | -59.91 Mn | 1.98 Mn | 770,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 770,000.00 |
| Mar 31, 2026 | -1.67 Mn |
| Dec 31, 2025 | 553,000.00 |
| Sep 30, 2025 | 1.18 Mn |
| Jun 30, 2025 | 31,000.00 |
| Mar 31, 2025 | -1.44 Mn |
| Dec 31, 2024 | -1.63 Mn |
| Sep 30, 2024 | 1.86 Mn |
| Jun 30, 2024 | 480,000.00 |
| Mar 31, 2024 | -1.39 Mn |
| Dec 31, 2023 | 34,000.00 |
| Sep 30, 2023 | 1.04 Mn |
| Jun 30, 2023 | 18,000.00 |
| Mar 31, 2023 | -1.84 Mn |
| Dec 31, 2022 | -2.97 Mn |
| Sep 30, 2022 | 2.84 Mn |
| Jun 30, 2022 | -507,000.00 |
| Mar 31, 2022 | -1.51 Mn |
| Dec 31, 2021 | 4.82 Mn |
| Sep 30, 2021 | 1.49 Mn |
Hyperfine Change in Accured 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=change-in-accured-expenses&ticker=HYPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=HYPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();