Trafalgar International (TRFA) Net Margin (2017 - 2025)
Trafalgar International (TRFA) posted Net Margin of -2749.35% for Q3 2025.
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Analysis
Trafalgar International (TRFA) Net Margin (2017 - 2025) Analysis & Trends
For FY2021, Trafalgar International's Net Margin came in at -4768.22%, down 2788.43 percentage points from FY2020.
- Annual Net Margin shows a four-year change of +381456.18 percentage points (FY2017 to FY2021).
- In prior years, Trafalgar International's Net Margin was -1979.79% in FY2020 (+21174.63 pp), -23154.42% in FY2019 (-22274.67 pp), -879.76% in FY2018 (+385344.64 pp) and -386224.40% in FY2017.
- The Q3 2025 figure stands as the highest quarterly Net Margin since Q2 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 26.44% |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 0.83% |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 24.24% |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 28.01% |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 22.65% |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 16.30% |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 37.28% |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 29.27% |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 19.55% |
| 10 | Trafalgar International | 708,701.25 | 658,380.25 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -2,749.35% |
| Jun 30, 2021 | -308.50% |
| Jun 30, 2020 | 2,294.67% |
| Dec 31, 2019 | -24,356.38% |
| Jun 30, 2018 | 99.34% |
| Mar 31, 2018 | 107.62% |
| Sep 30, 2017 | -59,114.71% |
| Jun 30, 2017 | -225,642.47% |
API Access
Trafalgar International Net Margin 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=net-margin&ticker=TRFA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=TRFA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();