Genelux (GNLX) Return on Sales [ROS] (2022 - 2024)
Genelux (GNLX) recorded Return on Sales [ROS] of -415175.00% in FY2025, down 18975.00 percentage points from -396200.00% in FY2024.
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Analysis
Genelux (GNLX) Return on Sales [ROS] (2022 - 2024) Analysis & Trends
Starting with FY2022, Genelux's Return on Sales [ROS] history includes 4 years.
- Annual Return on Sales [ROS] has declined for three straight years, with a three-year change of -415147.78 percentage points (FY2022 to FY2025).
- Per Business Quant data, GNLX's Return on Sales [ROS] was -396200.00% in FY2024 (-381985.29 pp), -14214.71% in FY2023 (-14187.48 pp) and -27.22% in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.66 Bn | 1,106.24 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 636.13 Bn | 556.00 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 505.28 Bn | 478.39 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 358.10 Bn | 312.48 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 292.59 Bn | 256.58 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 265.81 Bn | 239.50 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 237.53 Bn | 192.93 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 171.17 Bn | 117.82 Bn | 10.94 Bn | 28.37% |
| 10 | Genelux | 87.86 Mn | 26.14 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -396,200.00% |
| Sep 30, 2024 | -361,862.50% |
| Jun 30, 2024 | -341,437.50% |
| Mar 31, 2024 | -101,437.50% |
| Dec 31, 2023 | -14,214.71% |
| Sep 30, 2023 | -8,511.76% |
| Jun 30, 2023 | -76.59% |
| Mar 31, 2023 | -3,801.18% |
| Dec 31, 2022 | -4,550.00% |
| Sep 30, 2022 | 57.67% |
API Access
Genelux Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GNLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GNLX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=GNLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();