Hyperfine (HYPR) Depreciation and Depletion (2022 - 2026)
Hyperfine (HYPR) reported Depreciation and Depletion of $264,000 for Q2 2026, down 6.7% from $283,000 a year earlier and down 3.6% from the prior quarter.
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Analysis
Hyperfine (HYPR) Depreciation and Depletion (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Hyperfine's Depreciation and Depletion came in at $1.12 million, up 11.0% year-over-year; for FY2025, it came in at $1.09 million, up 8.0% from FY2024.
- Depreciation and Depletion has a four-year compound annual growth rate of 10.7% (FY2021 to FY2025).
- By year, Depreciation and Depletion came in at $1.01 million in FY2024 (-4.3%), $1.05 million in FY2023 (+3.8%), $1.02 million in FY2022 (+39.8%) and $726,000 in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Depreciation and Depletion since Q1 2025.
- Year over year, Depreciation and Depletion gained in four of the last eight quarters, with growth averaging 3.6%.
- The high point for year-over-year Depreciation and Depletion in five years was Q4 2025 (growth of 20.1%); the low point was Q1 2025 (a decline of 12.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $274,000 (Q1 2026), $281,000 (Q4 2025) and $297,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 317.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 122.00 Mn |
| 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 | 264,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 264,000.00 |
| Mar 31, 2026 | 274,000.00 |
| Dec 31, 2025 | 281,000.00 |
| Sep 30, 2025 | 297,000.00 |
| Jun 30, 2025 | 283,000.00 |
| Mar 31, 2025 | 229,000.00 |
| Dec 31, 2024 | 234,000.00 |
| Sep 30, 2024 | 259,000.00 |
| Jun 30, 2024 | 253,000.00 |
| Mar 31, 2024 | 263,000.00 |
| Dec 31, 2023 | 263,000.00 |
| Sep 30, 2023 | 278,000.00 |
| Jun 30, 2023 | 259,000.00 |
| Mar 31, 2023 | 254,000.00 |
| Dec 31, 2022 | 261,000.00 |
| Sep 30, 2022 | 238,000.00 |
| Jun 30, 2022 | 263,000.00 |
| Mar 31, 2022 | 253,000.00 |
API Access
Hyperfine Depreciation and Depletion 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=depreciation-and-depletion&ticker=HYPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=HYPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();