Citius Pharmaceuticals (CTXR) Total Liabilities (2011 - 2026)
Citius Pharmaceuticals (CTXR) reported Total Liabilities of $66.35 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 10.4% from $60.12 million a year earlier and up 4.6% from the prior quarter.
Citius Pharmaceuticals (CTXR) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Citius Pharmaceuticals posted Total Liabilities of $53.41 million, up 25.5% from FY2024.
- Total Liabilities has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 39.5% (FY2020 to FY2025).
- By fiscal year, Total Liabilities came in at $42.55 million in FY2024 (+249.4%), $12.18 million in FY2023 (+15.2%), $10.57 million in FY2022 (+9.6%) and $9.65 million in FY2021 (-4.5%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Total Liabilities since fiscal Q3 2023.
- Year over year, Total Liabilities gained in seven of the last eight quarters, with growth averaging 188.7%.
- The high point for year-over-year Total Liabilities in five years was fiscal Q3 2025 (growth of 456.3%); the low point was fiscal Q3 2024 (a decline of 90.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $63.46 million (Q2 2026), $46.92 million (Q1 2026) and $53.41 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,170.90 Bn | 1,139.49 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 643.26 Bn | 561.78 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 501.85 Bn | 474.96 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 370.72 Bn | 325.10 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 302.56 Bn | 266.55 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 268.35 Bn | 242.04 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 242.39 Bn | 197.79 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 193.22 Bn | 167.42 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 172.25 Bn | 118.90 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Citius Pharmaceuticals | 9.69 Mn | -23.88 Mn | 1.00 Mn | 66.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.35 Mn |
| Mar 31, 2026 | 63.46 Mn |
| Dec 31, 2025 | 46.92 Mn |
| Sep 30, 2025 | 53.41 Mn |
| Jun 30, 2025 | 60.12 Mn |
| Mar 31, 2025 | 57.91 Mn |
| Dec 31, 2024 | 51.78 Mn |
| Sep 30, 2024 | 42.55 Mn |
| Jun 30, 2024 | 10.81 Mn |
| Mar 31, 2024 | 10.74 Mn |
| Dec 31, 2023 | 12.07 Mn |
| Sep 30, 2023 | 12.18 Mn |
| Jun 30, 2023 | 110.31 Mn |
| Mar 31, 2023 | 12.43 Mn |
| Dec 31, 2022 | 10.67 Mn |
| Sep 30, 2022 | 10.57 Mn |
| Jun 30, 2022 | 9.98 Mn |
| Mar 31, 2022 | 9.59 Mn |
| Dec 31, 2021 | 12.96 Mn |
| Sep 30, 2021 | 9.65 Mn |
Citius Pharmaceuticals Total Liabilities 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=total-liabilities&ticker=CTXR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CTXR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=CTXR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();