CytoMed Therapeutics (GDTC) Depreciation and Depletion (2023 - 2025)
CytoMed Therapeutics' Depreciation and Depletion was $283,995 in FY2025, up 17.8% from $241,175 in FY2024.
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Analysis
CytoMed Therapeutics (GDTC) Depreciation and Depletion (2023 - 2025) Analysis & Trends
From FY2020 onward, CytoMed Therapeutics has reported Depreciation and Depletion for 6 years.
- Depreciation and Depletion shows a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- The FY2025 figure marks the highest annual Depreciation and Depletion since FY2021.
- Per Business Quant data, Depreciation and Depletion in earlier years was $241,175 in FY2024 (-13.6%), $279,120 in FY2023 (+1.3%), $275,494 in FY2022 (-13.0%) and $316,666 in FY2021 (+12.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 194.00 Mn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 599.00 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 | 98.00 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 | 84,490.00 |
| Jun 30, 2024 | 120,399.00 |
| Jun 30, 2023 | 146,758.00 |
API Access
CytoMed Therapeutics Depreciation and Depletion 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=depreciation-and-depletion&ticker=GDTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=GDTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();