Nyxoah (NYXH) Cash & Equivalents (2019 - 2026)
Nyxoah's Cash & Equivalents came in at $17.5 million for Q3 2026, up 37.2% from $12.75 million a year earlier but down 76.1% from the prior quarter.
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Analysis
Nyxoah (NYXH) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, Nyxoah's Cash & Equivalents was $35.24 million, down 0.9% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -20.9% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $35.57 million in FY2024 (+48.7%), $23.92 million in FY2023 (+25.4%), $19.07 million in FY2022 (-87.6%) and $153.46 million in FY2021 (+35.2%).
- The five-year range for quarterly Cash & Equivalents is $12.75 million (Q3 2025) to $153.46 million (Q4 2021).
- Year-over-year, Cash & Equivalents increased in four of the last eight quarters, with growth averaging 19.0%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q2 2026 (growth of 174.7%), and the weakest in Q4 2022 (a decline of 87.6%).
- Business Quant data shows NYXH's Cash & Equivalents at $73.23 million (Q2 2026), $14.82 million (Q1 2026) and $35.24 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 5.46 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 4.05 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 5.68 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 2.98 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 3.27 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 609.00 Mn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 3.11 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 2.32 Bn |
| 10 | Nyxoah | 38.72 Mn | -246.52 Mn | 6.66 Mn | 17.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.50 Mn |
| Jun 30, 2026 | 73.23 Mn |
| Mar 31, 2026 | 14.82 Mn |
| Dec 31, 2025 | 35.24 Mn |
| Sep 30, 2025 | 12.75 Mn |
| Jun 30, 2025 | 26.66 Mn |
| Mar 31, 2025 | 24.24 Mn |
| Dec 31, 2024 | 35.57 Mn |
| Sep 30, 2024 | 32.03 Mn |
| Jun 30, 2024 | 29.69 Mn |
| Mar 31, 2024 | 23.83 Mn |
| Dec 31, 2023 | 23.92 Mn |
| Sep 30, 2023 | 14.00 Mn |
| Jun 30, 2023 | 18.05 Mn |
| Mar 31, 2023 | 36.71 Mn |
| Dec 31, 2022 | 19.07 Mn |
| Sep 30, 2022 | 88.35 Mn |
| Jun 30, 2022 | 78.98 Mn |
| Mar 31, 2022 | 92.41 Mn |
| Dec 31, 2021 | 153.46 Mn |
API Access
Nyxoah Cash & Equivalents 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=cash-and-equivalents&ticker=NYXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=NYXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();