Nyxoah (NYXH) Cost of Revenue (2021 - 2026)
Nyxoah's Cost of Revenue was $3.59 million in Q2 2026, up 547.8% from $554,660 a year earlier and up 12.2% from the prior quarter.
Nyxoah (NYXH) Cost of Revenue (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nyxoah's Cost of Revenue was $10.05 million through Jun 30, 2026, up 438.0% year-over-year; for FY2025, it came in at $4.17 million, up 148.5% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of 161.3% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $1.68 million in FY2024 (-6.2%), $1.79 million in FY2023 (+47.8%), $1.21 million in FY2022 (+300.0%) and $303,000 in FY2021 (+784.6%).
- The Q2 2026 figure marks the highest quarterly Cost of Revenue in data going back to Q1 2021.
- Compared with a year earlier, Cost of Revenue has increased for five straight quarters, with growth averaging 235.8% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was Q1 2026 (growth of 649.5%); the worst was Q4 2024 (a decline of 54.2%).
- Per Business Quant data, NYXH's Cost of Revenue in the three quarters before Q2 2026 was $3.2 million (Q1 2026), $2.35 million (Q4 2025) and $910,694 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | 964.40 Mn |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | 2.67 Bn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | 392.40 Mn |
| 10 | Nyxoah | 35.71 Mn | -212.58 Mn | 5.33 Mn | 3.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.59 Mn |
| Mar 31, 2026 | 3.20 Mn |
| Dec 31, 2025 | 2.35 Mn |
| Sep 30, 2025 | 910,693.92 |
| Jun 30, 2025 | 554,660.25 |
| Mar 31, 2025 | 427,065.08 |
| Dec 31, 2024 | 357,979.46 |
| Sep 30, 2024 | 529,341.80 |
| Jun 30, 2024 | 302,605.41 |
| Mar 31, 2024 | 494,294.60 |
| Dec 31, 2023 | 781,132.37 |
| Sep 30, 2023 | 365,766.40 |
| Jun 30, 2023 | 456,259.32 |
| Mar 31, 2023 | 187,834.82 |
| Dec 31, 2022 | 474,415.02 |
| Sep 30, 2022 | 63,521.28 |
| Jun 30, 2022 | 356,396.93 |
| Mar 31, 2022 | 324,355.60 |
| Dec 31, 2021 | 120,116.95 |
| Sep 30, 2021 | 96,701.56 |
Nyxoah Cost of Revenue 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=cost-of-revenue&ticker=NYXH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=NYXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();