CytoMed Therapeutics (GDTC) Amortizatization of Intangibles (2023 - 2025)
CytoMed Therapeutics' Amortizatization of Intangibles came in at $30,542 for FY2025, up 131.4% from $13,199 in FY2024.
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Analysis
CytoMed Therapeutics (GDTC) Amortizatization of Intangibles (2023 - 2025) Analysis & Trends
Going back to FY2020, CytoMed Therapeutics' Amortizatization of Intangibles data covers 6 years.
- Amortizatization of Intangibles carries a five-year compound annual growth rate of 22.2% (FY2020 to FY2025).
- The FY2025 figure represents the highest annual Amortizatization of Intangibles in data going back to FY2020.
- Per Business Quant, earlier years put Amortizatization of Intangibles at $13,199 in FY2024 (+106.4%), $6,396 in FY2023 (-51.5%), $13,200 in FY2022 (-0.1%) and $13,212 in FY2021 (+17.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | - |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 984.00 Mn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 600.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | CytoMed Therapeutics | 10.88 Mn | -200,496.58 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 321.00 |
| Jun 30, 2024 | 321.00 |
| Jun 30, 2023 | 3,887.00 |
API Access
CytoMed Therapeutics Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=GDTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "GDTC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=GDTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();