Trafalgar International (TRFA) Assets (2017 - 2026)
Powered by 
Analysis
Trafalgar International (TRFA) Assets (2017 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 148.07 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 197.43 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 147.68 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 132.77 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 122.03 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 115.83 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 96.05 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 51.41 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 205.00 Bn |
| 10 | Trafalgar International | 708,701.25 | 658,380.25 | - | 1,439.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1,439.00 |
| Dec 31, 2025 | 815.00 |
| Sep 30, 2025 | 21,355.00 |
| Jun 30, 2025 | 26,712.00 |
| Mar 31, 2025 | 46,213.00 |
| Dec 31, 2024 | 57,785.00 |
| Sep 30, 2024 | 63,949.00 |
| Jun 30, 2024 | 83,233.00 |
| Mar 31, 2024 | 133,490.00 |
| Dec 31, 2023 | 172,276.00 |
| Sep 30, 2023 | 206,199.00 |
| Jun 30, 2023 | 248,664.00 |
| Mar 31, 2023 | 260,720.00 |
| Dec 31, 2022 | 280,447.00 |
| Sep 30, 2022 | 300,761.00 |
| Jun 30, 2022 | 324,114.00 |
| Mar 31, 2022 | 381,756.00 |
| Dec 31, 2021 | 392,937.00 |
| Sep 30, 2021 | 509,775.00 |
| Jun 30, 2021 | 583,597.00 |
API Access
Trafalgar International Assets 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=assets&ticker=TRFA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=TRFA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();