CytoMed Therapeutics (GDTC) Receivables (2021 - 2026)
CytoMed Therapeutics (GDTC) recorded Receivables of $1.78 million in Q2 2026, up 69.9% from $1.05 million a year earlier.
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Analysis
CytoMed Therapeutics (GDTC) Receivables (2021 - 2026) Analysis & Trends
At the end of FY2025, CytoMed Therapeutics reported Receivables of $1.57 million, up 37.3% from FY2024.
- Annual Receivables has a four-year compound annual growth rate of 4.1% (FY2021 to FY2025).
- Across earlier years, Receivables came in at $1.15 million in FY2024 (-40.8%), $1.94 million in FY2023 (+21.3%), $1.6 million in FY2022 (+19.0%) and $1.34 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,167.17 Bn | 1,135.76 Bn | 19.71 Bn | 23.48 Bn |
| 2 | Johnson & Johnson | 633.70 Bn | 552.23 Bn | 17.26 Bn | 19.05 Bn |
| 3 | AbbVie | 503.94 Bn | 477.06 Bn | 12.70 Bn | 13.82 Bn |
| 4 | Merck | 378.10 Bn | 332.47 Bn | 12.21 Bn | 12.56 Bn |
| 5 | Novartis Ag | 303.72 Bn | 267.71 Bn | 11.24 Bn | 9.64 Bn |
| 6 | Astrazeneca | 266.46 Bn | 240.15 Bn | 12.86 Bn | 15.68 Bn |
| 7 | Amgen | 241.07 Bn | 196.47 Bn | 7.24 Bn | 10.23 Bn |
| 8 | Gilead Sciences | 194.22 Bn | 168.41 Bn | 6.22 Bn | 5.06 Bn |
| 9 | Pfizer | 172.39 Bn | 119.04 Bn | 10.94 Bn | 12.49 Bn |
| 10 | CytoMed Therapeutics | 10.29 Mn | 1.11 Mn | - | 2.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.11 Mn |
| Dec 31, 2025 | 1.60 Mn |
| Jun 30, 2025 | 1.05 Mn |
| Dec 31, 2024 | 1.13 Mn |
| Dec 31, 2023 | 1.03 Mn |
| Dec 31, 2022 | 789,293.77 |
| Dec 31, 2021 | 583,986.38 |
API Access
CytoMed Therapeutics Receivables 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=receivables&ticker=GDTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=GDTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();