Elicio Therapeutics (ELTX) Operating Expenses (2020 - 2026)
Elicio Therapeutics (ELTX) posted Operating Expenses of $10.43 million for Q2 2026, up 3.3% from $10.09 million a year earlier but down 1.6% from the prior quarter.
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Analysis
Elicio Therapeutics (ELTX) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Elicio Therapeutics was $37.92 million, down 15.1% year-over-year; for FY2025, it came in at $37.71 million, down 16.2% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -8.3% (FY2020 to FY2025).
- In prior years, Elicio Therapeutics' Operating Expenses was $44.99 million in FY2024 (+25.9%), $35.75 million in FY2023 (+50.6%), $23.73 million in FY2022 (-64.9%) and $67.62 million in FY2021 (+16.3%).
- Quarterly Operating Expenses has run from a low of $5.77 million in Q3 2022 to a high of $17.22 million in Q3 2021 over five years.
- On a year-over-year basis, Operating Expenses increased in three of the last eight quarters, with an average decline of 2.2%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2023, with growth of 86.7%; the weakest was Q2 2022, with a decline of 66.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $10.6 million (Q1 2026), $8.84 million (Q4 2025) and $8.05 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 15.99 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 11.14 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 12.53 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.00 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 6.66 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 4.84 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 7.09 Bn |
| 10 | Elicio Therapeutics | 45.57 Mn | -42.34 Mn | - | 8.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.45 Mn |
| Jun 30, 2026 | 10.43 Mn |
| Mar 31, 2026 | 10.60 Mn |
| Dec 31, 2025 | 8.84 Mn |
| Sep 30, 2025 | 8.05 Mn |
| Jun 30, 2025 | 10.09 Mn |
| Mar 31, 2025 | 10.74 Mn |
| Dec 31, 2024 | 13.48 Mn |
| Sep 30, 2024 | 10.34 Mn |
| Jun 30, 2024 | 10.92 Mn |
| Mar 31, 2024 | 10.24 Mn |
| Dec 31, 2023 | 9.39 Mn |
| Sep 30, 2023 | 10.77 Mn |
| Jun 30, 2023 | 7.78 Mn |
| Mar 31, 2023 | 7.81 Mn |
| Dec 31, 2022 | 5.96 Mn |
| Sep 30, 2022 | 5.77 Mn |
| Jun 30, 2022 | 6.23 Mn |
| Mar 31, 2022 | 16.13 Mn |
| Dec 31, 2021 | 11.31 Mn |
API Access
Elicio Therapeutics Operating 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=operating-expenses&ticker=ELTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ELTX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=ELTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();