CytoMed Therapeutics (GDTC) Cash & Equivalents (2021 - 2026)
CytoMed Therapeutics (GDTC) recorded Cash & Equivalents of $1.46 million in Q2 2026, down 68.9% from $4.7 million a year earlier.
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Analysis
CytoMed Therapeutics (GDTC) Cash & Equivalents (2021 - 2026) Analysis & Trends
At the end of FY2025, CytoMed Therapeutics reported Cash & Equivalents of $1.6 million, down 56.9% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 20.1% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $3.72 million in FY2024 (-44.5%), $6.7 million in FY2023 (+484.5%), $1.15 million in FY2022 (-38.7%) and $1.87 million in FY2021 (+191.2%).
- The Q2 2026 figure is the lowest quarterly Cash & Equivalents since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 976.00 Mn |
| 10 | CytoMed Therapeutics | 10.88 Mn | -200,496.58 | - | 1.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.46 Mn |
| Dec 31, 2025 | 1.62 Mn |
| Jun 30, 2025 | 2.85 Mn |
| Dec 31, 2024 | 3.74 Mn |
| Jun 30, 2024 | 9.00 Mn |
| Dec 31, 2023 | 6.66 Mn |
| Jun 30, 2023 | 10.44 Mn |
| Dec 31, 2022 | 1.14 Mn |
| Dec 31, 2021 | 1.85 Mn |
API Access
CytoMed Therapeutics Cash & Equivalents 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=cash-and-equivalents&ticker=GDTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GDTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();