CytoMed Therapeutics (GDTC) Operating Leases (2021 - 2026)
CytoMed Therapeutics' Operating Leases was $20,574 in Q2 2026, up 5.1% from $19,571 a year earlier.
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Analysis
CytoMed Therapeutics (GDTC) Operating Leases (2021 - 2026) Analysis & Trends
At the end of FY2025, Operating Leases at CytoMed Therapeutics came in at $19,598, up 137.2% from FY2024.
- Operating Leases shows a four-year compound annual growth rate of 25.8% (FY2021 to FY2025).
- In earlier years, Operating Leases was $8,262 in FY2024 (+30.6%), $6,324 in FY2023 (-18.0%), $7,710 in FY2022 (-1.3%) and $7,813 in FY2021.
- Quarterly Operating Leases has moved between $112.00 (Q2 2024) and $41,249 (Q4 2025) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,170.86 Bn | 1,139.45 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 639.81 Bn | 558.34 Bn | 17.26 Bn |
| 3 | AbbVie | 501.68 Bn | 474.79 Bn | 12.70 Bn |
| 4 | Merck | 374.79 Bn | 329.16 Bn | 12.21 Bn |
| 5 | Novartis Ag | 302.69 Bn | 266.68 Bn | 11.24 Bn |
| 6 | Astrazeneca | 268.27 Bn | 241.96 Bn | 12.86 Bn |
| 7 | Amgen | 242.43 Bn | 197.83 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 193.38 Bn | 167.58 Bn | 6.22 Bn |
| 9 | Pfizer | 172.45 Bn | 119.10 Bn | 10.94 Bn |
| 10 | CytoMed Therapeutics | 10.29 Mn | 1.11 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20,574.00 |
| Dec 31, 2025 | 41,639.53 |
| Jun 30, 2025 | 19,571.00 |
| Dec 31, 2024 | 16,941.45 |
| Jun 30, 2024 | 2,565.00 |
| Dec 31, 2023 | 6,324.00 |
| Jun 30, 2023 | 7,506.00 |
| Dec 31, 2022 | 4,993.60 |
| Dec 31, 2021 | 11,330.64 |
API Access
CytoMed Therapeutics Operating Leases 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-leases&ticker=GDTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=GDTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();