CytoMed Therapeutics (GDTC) Receivables (2021 - 2026)
CytoMed Therapeutics (GDTC) recorded Receivables of $1.59 million in Q4 2025, up 37.8% from $1.15 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 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 19.05 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 13.82 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 12.56 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 9.64 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 15.68 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 10.23 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 5.06 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 12.49 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 2.13 Bn |
| 10 | CytoMed Therapeutics | 9.94 Mn | -1.15 Mn | - | 1.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.78 Mn |
| Dec 31, 2025 | 1.59 Mn |
| Jun 30, 2025 | 1.23 Mn |
| Dec 31, 2024 | 1.15 Mn |
| Dec 31, 2023 | 1.01 Mn |
| Dec 31, 2022 | 764,106.96 |
| Dec 31, 2021 | 581,771.65 |
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();