CytoMed Therapeutics (GDTC) Retained Earnings (2021 - 2026)
CytoMed Therapeutics (GDTC) reported Retained Earnings of -$20.6 million for Q2 2026, compared with -$17.09 million a year earlier.
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Analysis
CytoMed Therapeutics (GDTC) Retained Earnings (2021 - 2026) Analysis & Trends
At the end of FY2025, CytoMed Therapeutics posted Retained Earnings of -$14.41 million.
- By year, Retained Earnings came in at -$11.12 million in FY2024, -$9.18 million in FY2023, -$5.95 million in FY2022 and -$3.77 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Retained Earnings in data going back to Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 31.89 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 171.67 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | -17.33 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 63.27 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 12.59 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | -22.28 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 2.20 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 112.09 Bn |
| 10 | CytoMed Therapeutics | 9.44 Mn | -158,924.18 | - | -20.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -20.60 Mn |
| Dec 31, 2025 | -14.67 Mn |
| Jun 30, 2025 | -17.09 Mn |
| Dec 31, 2024 | -10.92 Mn |
| Jun 30, 2024 | -13.42 Mn |
| Dec 31, 2023 | -9.34 Mn |
| Jun 30, 2023 | -10.36 Mn |
| Dec 31, 2022 | -6.10 Mn |
| Dec 31, 2021 | -3.75 Mn |
API Access
CytoMed Therapeutics Retained Earnings 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=retained-earnings&ticker=GDTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=GDTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();