Hyperfine (HYPR) Depreciation & Amortization (CF) (2021 - 2026)
Hyperfine's Depreciation & Amortization (CF) came in at $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 & Amortization (CF) (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Hyperfine reported Depreciation & Amortization (CF) of $1.12 million, up 11.0% year-over-year; for FY2025, it was $1.09 million, up 8.0% from FY2024.
- Depreciation & Amortization (CF) carries a five-year compound annual growth rate of 30.4% (FY2020 to FY2025).
- Going back by year, Depreciation & Amortization (CF) was $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 (+151.2%).
- The Q2 2026 figure represents the lowest quarterly Depreciation & Amortization (CF) since Q1 2025.
- Year-over-year, Depreciation & Amortization (CF) increased in four of the last eight quarters, with growth averaging 3.6%.
- The fastest year-over-year change in Depreciation & Amortization (CF) over five years came in Q1 2022 (growth of 163.5%), and the weakest in Q4 2022 (a decline of 22.6%).
- Business Quant data shows HYPR's Depreciation & Amortization (CF) at $274,000 (Q1 2026), $281,000 (Q4 2025) and $297,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 192.30 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 729.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 355.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 42.70 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 564.00 Mn |
| 10 | Hyperfine | 73.70 Mn | -67.19 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 |
| Dec 31, 2021 | 337,000.00 |
| Sep 30, 2021 | 172,000.00 |
API Access
Hyperfine Depreciation & Amortization (CF) 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-amortization-cf&ticker=HYPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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-amortization-cf&ticker=HYPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();