CytoMed Therapeutics (GDTC) Total Liabilities (2021 - 2026)
CytoMed Therapeutics (GDTC) reported Total Liabilities of $1.62 million for Q2 2026, up 42.4% from $1.13 million a year earlier.
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Analysis
CytoMed Therapeutics (GDTC) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, CytoMed Therapeutics posted Total Liabilities of $865,885, up 13.0% from FY2024.
- Total Liabilities has a four-year compound annual growth rate of -24.0% (FY2021 to FY2025).
- By year, Total Liabilities came in at $766,546 in FY2024 (-8.5%), $837,703 in FY2023 (-75.1%), $3.37 million in FY2022 (+29.6%) and $2.6 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities since Q4 2022.
- Year over year, Total Liabilities gained in three of the last four quarters, with growth averaging 18.6%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 68.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 115.70 Bn |
| 10 | CytoMed Therapeutics | 9.94 Mn | -2.19 Mn | - | 1.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.25 Mn |
| Dec 31, 2025 | 881,132.47 |
| Jun 30, 2025 | 892,256.00 |
| Dec 31, 2024 | 753,316.15 |
| Jun 30, 2024 | 552,549.00 |
| Dec 31, 2023 | 852,185.93 |
| Jun 30, 2023 | 551,708.00 |
| Dec 31, 2022 | 3.45 Mn |
| Dec 31, 2021 | 2.58 Mn |
API Access
CytoMed Therapeutics Total Liabilities 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=total-liabilities&ticker=GDTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GDTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();