Nyxoah (NYXH) Other Accumulated Expenses (2020 - 2025)
Nyxoah (NYXH) posted Other Accumulated Expenses of $7.7 million for Q4 2025, up 4214.11% on a QoQ basis from $178865.4 in Q3 2025, and up 16.02% year-over-year from $6.7 million in Q4 2024.
Nyxoah (NYXH) Other Accumulated Expenses (2020 - 2025) Analysis & Trends
Nyxoah has reported Other Accumulated Expenses for 6 years, with the latest figure at $7.7 million in Q4 2025.
- On a quarterly basis, Other Accumulated Expenses rose 16.02% year-over-year to $7.7 million in Q4 2025; TTM through Dec 2025 was $7.7 million, a 16.02% increase from a year earlier, with the FY2025 full-year figure at $7.5 million, up 11.18% from the prior year.
- Other Accumulated Expenses was $7.7 million for Q4 2025 at Nyxoah, up from $178865.4 in the prior quarter.
- The five-year high for Other Accumulated Expenses was $8.0 billion in Q3 2022, with the low at $178865.4 in Q3 2025.
- Average Other Accumulated Expenses over 5 years is $472.9 million, with a median of $5.2 million recorded in 2023.
- The sharpest annual moves came in 2023 and 2024: Other Accumulated Expenses plunged 99.92% in 2023, then jumped 97.37% in 2024.
- Over 5 years, Other Accumulated Expenses stood at $4.2 million in 2021, then climbed by 26.84% to $5.3 million in 2022, then slumped by 36.08% to $3.4 million in 2023, then surged by 97.37% to $6.7 million in 2024, then grew by 16.02% to $7.7 million in 2025.
- The last three Other Accumulated Expenses figures came in at $7.7 million (Q4 2025), $178865.4 (Q3 2025), and $6.5 million (Q2 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Abbott Laboratories | 178.18 Bn | 173.23 Bn | 7.27 Bn |
| 2 | Intuitive Surgical | 142.14 Bn | 137.06 Bn | 1.96 Bn |
| 3 | Medtronic | 117.43 Bn | 109.23 Bn | 6.34 Bn |
| 4 | Stryker | 105.15 Bn | 101.68 Bn | 4.50 Bn |
| 5 | Boston Scientific | 63.37 Bn | 63.08 Bn | 3.85 Bn |
| 6 | Edwards Lifesciences | 50.93 Bn | 46.79 Bn | 1.35 Bn |
| 7 | Dexcom | 33.65 Bn | 31.71 Bn | 830.00 Mn |
| 8 | Resmed | 32.27 Bn | 30.80 Bn | 861.22 Mn |
| 9 | Alcon | 31.62 Bn | 30.17 Bn | 1.68 Bn |
| 10 | Nyxoah | 63.68 Mn | -49.98 Mn | 5.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 7.72 Mn |
| Sep 30, 2025 | 178,865.43 |
| Jun 30, 2025 | 6.53 Mn |
| Mar 31, 2025 | 6.03 Mn |
| Dec 31, 2024 | 6.65 Mn |
| Sep 30, 2024 | 5.13 Mn |
| Jun 30, 2024 | 3.82 Mn |
| Mar 31, 2024 | 3.66 Mn |
| Dec 31, 2023 | 3.37 Mn |
| Sep 30, 2023 | 6.59 Mn |
| Jun 30, 2023 | 5.18 Mn |
| Mar 31, 2023 | 4.94 Mn |
| Dec 31, 2022 | 5.27 Mn |
| Sep 30, 2022 | 7.96 Bn |
| Jun 30, 2022 | 8.05 Mn |
| Mar 31, 2022 | 5.00 Mn |
| Dec 31, 2021 | 4.16 Mn |
| Dec 31, 2020 | 4.92 Mn |
Nyxoah Other Accumulated Expenses 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-accumulated-expenses&ticker=NYXH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=NYXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();