CytoMed Therapeutics (GDTC) Operating Expenses (2023 - 2026)
CytoMed Therapeutics (GDTC) posted Operating Expenses of -$2.41 million for FY2025, compared with -$2.02 million in FY2024.
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Analysis
CytoMed Therapeutics (GDTC) Operating Expenses (2023 - 2026) Analysis & Trends
Since FY2020, CytoMed Therapeutics has reported Operating Expenses for 6 years.
- The FY2025 figure stands as the lowest annual Operating Expenses since FY2022.
- Business Quant data shows GDTC's Operating Expenses at -$2.02 million in FY2024, -$1.69 million in FY2023, -$2.45 million in FY2022 and -$1.98 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 2.09 Bn |
| 10 | CytoMed Therapeutics | 9.94 Mn | -1.15 Mn | - | 398,866.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 398,866.00 |
| Jun 30, 2025 | 34,734.00 |
| Jun 30, 2024 | 30,300.00 |
| Jun 30, 2023 | 811,319.00 |
API Access
CytoMed Therapeutics Operating Expenses 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=operating-expenses&ticker=GDTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GDTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();