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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 267.71 Bn | 244.23 Bn | 5.13 Bn | 307.00 Mn |
| 2 | Abbott Laboratories | 191.69 Bn | 165.56 Bn | 7.39 Bn | 415.00 Mn |
| 3 | Danaher | 166.18 Bn | 145.83 Bn | 3.84 Bn | 208.00 Mn |
| 4 | Intuitive Surgical | 161.07 Bn | 141.36 Bn | 2.08 Bn | - |
| 5 | Medtronic | 131.65 Bn | 96.90 Bn | 6.34 Bn | 317.00 Mn |
| 6 | Stryker | 125.25 Bn | 111.44 Bn | 4.25 Bn | 120.00 Mn |
| 7 | Boston Scientific | 63.85 Bn | 59.29 Bn | 3.43 Bn | 128.00 Mn |
| 8 | Edwards Lifesciences | 60.52 Bn | 43.72 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 59.08 Bn | 56.23 Bn | 2.32 Bn | - |
| 10 | Hyperfine | 72.35 Mn | -68.53 Mn | 1.98 Mn | 264,000.00 |
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 |
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_KEY
import 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();