Agenus (AGEN) Operating Expenses (2010 - 2026)
Agenus (AGEN) reported Operating Expenses of $23.23 million for Q2 2026, down 45.2% from $42.4 million a year earlier but up 24.3% from the prior quarter.
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Analysis
Agenus (AGEN) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Agenus' Operating Expenses came in at $96.17 million, down 50.1% year-over-year; for FY2025, it came in at $20,000, down 79.4% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of -84.2% (FY2020 to FY2025).
- By year, Operating Expenses came in at $97,000 in FY2024 (-35.3%), $150,000 in FY2023 (+41.5%), $106,000 in FY2022 (-63.6%) and $291,000 in FY2021 (-99.9%).
- Five-year quarterly Operating Expenses spans a low of -$750,000 in Q4 2023 and a high of $78.32 million in Q4 2022.
- Year over year, Operating Expenses has now declined in each of the last five quarters, with an average decline of 44.2% over the last five quarters.
- The high point for year-over-year Operating Expenses in five years was Q1 2024 (growth of 97.4%); the low point was Q2 2023 (a decline of 99.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $18.68 million (Q1 2026), $19.81 million (Q4 2025) and $34.46 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Agenus | 421.47 Mn | 414.69 Mn | 34.52 Mn | 23.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.23 Mn |
| Mar 31, 2026 | 18.68 Mn |
| Dec 31, 2025 | 19.81 Mn |
| Sep 30, 2025 | 34.46 Mn |
| Jun 30, 2025 | 42.40 Mn |
| Mar 31, 2025 | 37.38 Mn |
| Dec 31, 2024 | 54.71 Mn |
| Sep 30, 2024 | 58.33 Mn |
| Jun 30, 2024 | 53.59 Mn |
| Mar 31, 2024 | 450,000.00 |
| Dec 31, 2023 | -750,000.00 |
| Jun 30, 2023 | 222,000.00 |
| Mar 31, 2023 | 228,000.00 |
| Dec 31, 2022 | 78.32 Mn |
| Sep 30, 2022 | 64.12 Mn |
| Jun 30, 2022 | 63.87 Mn |
| Mar 31, 2022 | 61.40 Mn |
| Dec 31, 2021 | 75.46 Mn |
| Sep 30, 2021 | 64.32 Mn |
| Jun 30, 2021 | 62.16 Mn |
API Access
Agenus 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=AGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AGEN", "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=AGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();