CytoMed Therapeutics (GDTC) Operating Expenses (2022 - 2026)
CytoMed Therapeutics (GDTC) posted Operating Expenses of $398,866 for Q2 2026, compared with $34,734 a year earlier.
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Analysis
CytoMed Therapeutics (GDTC) Operating Expenses (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at CytoMed Therapeutics was $1.28 million; for FY2025, it was $1.7 million.
- In prior years, CytoMed Therapeutics' Operating Expenses was -$2.02 million in FY2024, -$1.69 million in FY2023, -$2.45 million in FY2022 and -$1.98 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q2 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 6.68 Bn |
| 10 | CytoMed Therapeutics | 10.46 Mn | 855,548.76 | - | 398,866.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 398,866.00 |
| Jun 30, 2025 | 368,049.00 |
| Jun 30, 2024 | 360,204.00 |
| Jun 30, 2023 | 958,077.00 |
| Jun 30, 2022 | 732,375.00 |
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();