Hyperfine (HYPR) Other Non-Current Liabilities (2023 - 2026)
Hyperfine (HYPR) posted Other Non-Current Liabilities of $17,000 for Q1 2026, up 6.3% from $16,000 a year earlier but down 74.2% from the prior quarter.
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Analysis
Hyperfine (HYPR) Other Non-Current Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2025, Hyperfine's Other Non-Current Liabilities came in at $66,000, down 15.4% from FY2024.
- In prior years, Hyperfine's Other Non-Current Liabilities was $78,000 in FY2024 (+21.9%) and $64,000 in FY2023.
- Quarterly Other Non-Current Liabilities has run from a low of $12,000 in Q2 2025 to a high of $78,000 in Q4 2024 over five years.
- On a year-over-year basis, Other Non-Current Liabilities increased in two of the last four quarters, with growth averaging 1.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Hyperfine | 73.70 Mn | -67.19 Mn | 1.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 17,000.00 |
| Dec 31, 2025 | 66,000.00 |
| Jun 30, 2025 | 12,000.00 |
| Mar 31, 2025 | 16,000.00 |
| Dec 31, 2024 | 78,000.00 |
| Mar 31, 2024 | 17,000.00 |
| Dec 31, 2023 | 64,000.00 |
API Access
Hyperfine Other Non-Current Liabilities 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-non-current-liabilities&ticker=HYPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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-non-current-liabilities&ticker=HYPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();