Nyxoah (NYXH) Non-Current Assets (2020 - 2026)
Nyxoah's Non-Current Assets came in at $62 million for Q3 2026, compared with -$74.84 million a year earlier and down 2.7% from the prior quarter.
Analysis
Nyxoah (NYXH) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Nyxoah's Non-Current Assets was $67.26 million, up 7.2% from FY2024.
- Non-Current Assets has increased in each of the last five years, with a five-year compound annual growth rate of 22.3% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $62.77 million in FY2024 (+1.6%), $61.77 million in FY2023 (+26.5%), $48.84 million in FY2022 (+40.1%) and $34.85 million in FY2021 (+41.9%).
- The five-year range for quarterly Non-Current Assets is -$74.84 million (Q3 2025) to $43.97 billion (Q3 2022).
- Year-over-year, Non-Current Assets increased in four of the last six quarters, with growth averaging 2.8%.
- The fastest year-over-year change in Non-Current Assets over five years came in Q2 2023 (growth of 906.9%), and the weakest in Q3 2023 (a decline of 99.9%).
- Business Quant data shows NYXH's Non-Current Assets at $63.72 million (Q2 2026), $65.36 million (Q1 2026) and $67.26 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 88.62 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 84.75 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 78.49 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 10.92 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 33.06 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 37.30 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 6.90 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 27.53 Bn |
| 10 | Nyxoah | 38.72 Mn | -246.52 Mn | 6.66 Mn | 62.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 62.00 Mn |
| Jun 30, 2026 | 63.72 Mn |
| Mar 31, 2026 | 65.36 Mn |
| Dec 31, 2025 | 67.26 Mn |
| Sep 30, 2025 | -74.84 Mn |
| Jun 30, 2025 | 71.95 Mn |
| Mar 31, 2025 | 65.69 Mn |
| Dec 31, 2024 | 62.77 Mn |
| Sep 30, 2024 | 66.11 Mn |
| Jun 30, 2024 | 62.71 Mn |
| Mar 31, 2024 | 62.55 Mn |
| Dec 31, 2023 | 61.77 Mn |
| Sep 30, 2023 | 57.42 Mn |
| Jun 30, 2023 | 55.52 Mn |
| Mar 31, 2023 | 53.49 Mn |
| Dec 31, 2022 | 48.84 Mn |
| Sep 30, 2022 | 43.97 Bn |
| Jun 30, 2022 | 5.51 Mn |
| Mar 31, 2022 | 38.42 Mn |
| Dec 31, 2021 | 34.85 Bn |
API Access
Nyxoah Non-Current Assets 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=non-current-assets&ticker=NYXH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "NYXH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-current-assets&ticker=NYXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();