Elite Pharmaceuticals (ELTP) Total Liabilities (2011 - 2026)
Elite Pharmaceuticals (ELTP) recorded Total Liabilities of $34.84 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 45.3% from $63.66 million a year earlier and down 11.6% from the prior quarter.
Elite Pharmaceuticals (ELTP) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Elite Pharmaceuticals reported Total Liabilities of $39.41 million, down 8.1% from FY2025.
- Annual Total Liabilities has a five-year compound annual growth rate of 31.5% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $42.87 million in FY2025 (+64.4%), $26.07 million in FY2024 (+118.4%), $11.94 million in FY2023 (+20.2%) and $9.93 million in FY2022 (-1.1%).
- The fiscal Q1 2027 figure is the lowest quarterly Total Liabilities since fiscal Q1 2025.
- On a year-over-year basis, Total Liabilities has declined for three consecutive quarters, with growth averaging 37.4% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 146.2% in fiscal Q3 2023, against a decline of 45.3% in fiscal Q1 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $39.41 million (Q4 2026), $46.1 million (Q3 2026) and $55.66 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Elite Pharmaceuticals | 268.12 Mn | 149.80 Mn | 13.51 Mn | 34.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.84 Mn |
| Mar 31, 2026 | 39.41 Mn |
| Dec 31, 2025 | 46.10 Mn |
| Sep 30, 2025 | 55.66 Mn |
| Jun 30, 2025 | 63.66 Mn |
| Mar 31, 2025 | 42.87 Mn |
| Dec 31, 2024 | 54.31 Mn |
| Sep 30, 2024 | 40.93 Mn |
| Jun 30, 2024 | 29.60 Mn |
| Mar 31, 2024 | 26.07 Mn |
| Dec 31, 2023 | 28.28 Mn |
| Sep 30, 2023 | 25.62 Mn |
| Jun 30, 2023 | 16.38 Mn |
| Mar 31, 2023 | 11.94 Mn |
| Dec 31, 2022 | 22.54 Mn |
| Sep 30, 2022 | 23.15 Mn |
| Mar 31, 2022 | 9.93 Mn |
| Dec 31, 2021 | 9.16 Mn |
| Sep 30, 2021 | 10.12 Mn |
| Jun 30, 2021 | 11.29 Mn |
Elite 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=ELTP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ELTP", "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=ELTP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();