Citius Oncology (CTOR) Accumulated Expenses (2023 - 2026)
Citius Oncology (CTOR) reported Accumulated Expenses of $25.84 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 205.4% from $8.46 million a year earlier and up 7.4% from the prior quarter.
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Analysis
Citius Oncology (CTOR) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Citius Oncology posted Accumulated Expenses of $4.09 million.
- By fiscal year, Accumulated Expenses came in at $375,886 in FY2023.
- The fiscal Q3 2026 figure ranks as the highest quarterly Accumulated Expenses in data going back to fiscal Q2 2023.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $24.06 million (Q2 2026), $4.52 million (Q1 2026) and $4.09 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Citius Oncology | 106.82 Mn | 106.82 Mn | 1.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.84 Mn |
| Mar 31, 2026 | 24.06 Mn |
| Dec 31, 2025 | 4.52 Mn |
| Sep 30, 2025 | 4.09 Mn |
| Jun 30, 2025 | 8.46 Mn |
| Mar 31, 2025 | 8.72 Mn |
| Dec 31, 2024 | 6.23 Mn |
| Jun 30, 2024 | 485,750.00 |
| Mar 31, 2024 | 488,235.00 |
| Dec 31, 2023 | 375,886.00 |
| Sep 30, 2023 | 259,071.00 |
| Jun 30, 2023 | 108,899.00 |
API Access
Citius Oncology Accumulated 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=accumulated-expenses&ticker=CTOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "CTOR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=CTOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();