Elite Pharmaceuticals (ELTP) Accumulated Expenses (2015 - 2026)
Elite Pharmaceuticals' Accumulated Expenses came in at $6.43 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 40.3% from $4.58 million a year earlier but down 36.9% from the prior quarter.
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Analysis
Elite Pharmaceuticals (ELTP) Accumulated Expenses (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Elite Pharmaceuticals' Accumulated Expenses was $10.19 million, up 168.6% from FY2025.
- Accumulated Expenses carries a five-year compound annual growth rate of 19.0% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $3.8 million in FY2025 (-28.4%), $5.3 million in FY2024 (+5.0%), $5.05 million in FY2023 (+7.6%) and $4.69 million in FY2022 (+9.9%).
- The five-year range for quarterly Accumulated Expenses is $3.72 million (fiscal Q3 2025) to $11.88 million (fiscal Q3 2024).
- Year-over-year, Accumulated Expenses has increased for four consecutive quarters, with growth averaging 11.7% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q4 2026 (growth of 168.6%), and the weakest in fiscal Q3 2025 (a decline of 68.7%).
- Business Quant data shows ELTP's Accumulated Expenses at $10.19 million (Q4 2026), $5.55 million (Q3 2026) and $6.15 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn |
| 10 | Elite Pharmaceuticals | 269.28 Mn | 150.96 Mn | 13.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.43 Mn |
| Mar 31, 2026 | 10.19 Mn |
| Dec 31, 2025 | 5.55 Mn |
| Sep 30, 2025 | 6.15 Mn |
| Jun 30, 2025 | 4.58 Mn |
| Mar 31, 2025 | 3.80 Mn |
| Dec 31, 2024 | 3.72 Mn |
| Sep 30, 2024 | 5.70 Mn |
| Jun 30, 2024 | 6.23 Mn |
| Mar 31, 2024 | 5.30 Mn |
| Dec 31, 2023 | 11.88 Mn |
| Sep 30, 2023 | 11.16 Mn |
| Jun 30, 2023 | 5.93 Mn |
| Mar 31, 2023 | 5.05 Mn |
| Dec 31, 2022 | 4.68 Mn |
| Sep 30, 2022 | 4.58 Mn |
| Mar 31, 2022 | 4.69 Mn |
| Dec 31, 2021 | 4.03 Mn |
| Sep 30, 2021 | 3.78 Mn |
| Jun 30, 2021 | 3.94 Mn |
API Access
Elite Pharmaceuticals 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=ELTP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=ELTP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();