Hyperfine (HYPR) Change in Inventory (2021 - 2026)
Hyperfine (HYPR) posted Change in Inventory of $489,000 for Q2 2026, up 6.3% from $460,000 a year earlier.
Hyperfine (HYPR) Change in Inventory (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Inventory at Hyperfine was $1.93 million; for FY2025, it came in at $1.48 million.
- Annual Change in Inventory shows a five-year compound annual growth rate of -5.2% (FY2020 to FY2025).
- In prior years, Hyperfine's Change in Inventory was -$562,000 in FY2024, $2.21 million in FY2023 (+608.0%), $312,000 in FY2022 (-88.3%) and $2.67 million in FY2021 (+38.1%).
- Quarterly Change in Inventory has run from a low of -$1.19 million in Q1 2025 to a high of $1.6 million in Q4 2021 over five years.
- The strongest year-over-year quarter for Change in Inventory in the past five years was Q1 2023, with growth of 392.1%; the weakest was Q1 2022, with a decline of 66.1%.
- According to Business Quant data, Change in Inventory for the three prior quarters was -$763,000 (Q1 2026), $1.25 million (Q4 2025) and $954,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (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 | 301.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 46.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 248.00 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 240.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 113.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 133.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 23.50 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | - |
| 10 | Hyperfine | 73.70 Mn | -67.19 Mn | 1.98 Mn | 489,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 489,000.00 |
| Mar 31, 2026 | -763,000.00 |
| Dec 31, 2025 | 1.25 Mn |
| Sep 30, 2025 | 954,000.00 |
| Jun 30, 2025 | 460,000.00 |
| Mar 31, 2025 | -1.19 Mn |
| Dec 31, 2024 | -1.14 Mn |
| Sep 30, 2024 | -421,000.00 |
| Jun 30, 2024 | 167,000.00 |
| Mar 31, 2024 | 833,000.00 |
| Dec 31, 2023 | -285,000.00 |
| Sep 30, 2023 | 957,000.00 |
| Jun 30, 2023 | 415,000.00 |
| Mar 31, 2023 | 1.12 Mn |
| Dec 31, 2022 | 620,000.00 |
| Sep 30, 2022 | -644,000.00 |
| Jun 30, 2022 | 108,000.00 |
| Mar 31, 2022 | 228,000.00 |
| Dec 31, 2021 | 1.60 Mn |
| Sep 30, 2021 | 615,000.00 |
Hyperfine Change in Inventory 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-inventory&ticker=HYPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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-inventory&ticker=HYPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();