Trafalgar International (TRFA) Return on Sales [ROS] (2017 - 2025)
Trafalgar International's Return on Sales [ROS] was -2849.35% in Q3 2025, down 494.43 percentage points from -2354.92% a year earlier.
Trafalgar International (TRFA) Return on Sales [ROS] (2017 - 2025) Analysis & Trends
For FY2021, Return on Sales [ROS] at Trafalgar International came in at -2716.91%, down 2104.02 percentage points from FY2020.
- Return on Sales [ROS] shows a four-year change of +295156.77 percentage points (FY2017 to FY2021).
- In earlier years, Return on Sales [ROS] was -612.89% in FY2020 (+6765.24 pp), -7378.13% in FY2019 (-7177.95 pp), -200.18% in FY2018 (+297673.51 pp) and -297873.68% in FY2017.
- The Q3 2025 figure marks the lowest quarterly Return on Sales [ROS] since Q4 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | Trafalgar International | 745,784.25 | -110.28 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -2,849.35% |
| Sep 30, 2024 | -2,354.92% |
| Dec 31, 2021 | -2,716.91% |
| Sep 30, 2021 | -2,189.83% |
| Jun 30, 2021 | -494.65% |
| Dec 31, 2020 | -560.40% |
| Sep 30, 2020 | -829.12% |
| Jun 30, 2020 | -170.47% |
| Dec 31, 2019 | -4,327.33% |
| Dec 31, 2018 | -190.74% |
| Sep 30, 2018 | -133.83% |
| Jun 30, 2018 | 99.34% |
| Mar 31, 2018 | 99.52% |
| Sep 30, 2017 | -28,856.62% |
| Jun 30, 2017 | -43,656.16% |
Trafalgar International 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=TRFA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "TRFA", "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=TRFA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();