Hyperfine (HYPR) Other Accumulated Expenses (2020 - 2026)
Hyperfine (HYPR) posted Other Accumulated Expenses of $337,000 for Q2 2026, up 49.8% from $225,000 a year earlier and up 2.7% from the prior quarter.
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Analysis
Hyperfine (HYPR) Other Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Hyperfine's Other Accumulated Expenses came in at $460,000, down 2.7% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 79.0% (FY2020 to FY2025).
- In prior years, Hyperfine's Other Accumulated Expenses was $473,000 in FY2024 (+6.1%), $446,000 in FY2023, $38,000 in FY2022 (+100.0%) and $19,000 in FY2021 (-24.0%).
- Quarterly Other Accumulated Expenses has run from a low of $19,000 in Q4 2021 to a high of $648,000 in Q3 2024 over five years.
- On a year-over-year basis, Other Accumulated Expenses increased in five of the last eight quarters, with growth averaging 20.1%.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q2 2023, with growth of 181.5%; the weakest was Q3 2025, with a decline of 60.3%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $328,000 (Q1 2026), $460,000 (Q4 2025) and $257,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Hyperfine | 80.98 Mn | -59.91 Mn | 1.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 337,000.00 |
| Mar 31, 2026 | 328,000.00 |
| Dec 31, 2025 | 460,000.00 |
| Sep 30, 2025 | 257,000.00 |
| Jun 30, 2025 | 225,000.00 |
| Mar 31, 2025 | 169,000.00 |
| Dec 31, 2024 | 473,000.00 |
| Sep 30, 2024 | 648,000.00 |
| Jun 30, 2024 | 241,000.00 |
| Mar 31, 2024 | 157,000.00 |
| Dec 31, 2023 | 446,000.00 |
| Sep 30, 2023 | 375,000.00 |
| Jun 30, 2023 | 183,000.00 |
| Mar 31, 2023 | 332,000.00 |
| Dec 31, 2022 | 38,000.00 |
| Sep 30, 2022 | 195,000.00 |
| Jun 30, 2022 | 65,000.00 |
| Mar 31, 2022 | 127,000.00 |
| Dec 31, 2021 | 19,000.00 |
| Dec 31, 2020 | 25,000.00 |
API Access
Hyperfine Other 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=other-accumulated-expenses&ticker=HYPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=HYPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();