ImageneBio (IMA) Operating Expenses (2020 - 2026)
ImageneBio's Operating Expenses was $26.59 million in Q3 2025, up 380.4% from $5.54 million a year earlier and up 261.4% from the prior quarter.
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Analysis
ImageneBio (IMA) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, ImageneBio's Operating Expenses was $65.36 million through Sep 30, 2025, up 5.2% year-over-year; for FY2024, it was $58.97 million, down 30.3% from FY2023.
- Operating Expenses shows a four-year compound annual growth rate of 2.4% (FY2020 to FY2024).
- In earlier years, Operating Expenses was $84.58 million in FY2023 (-2.2%), $86.52 million in FY2022 (+32.9%), $65.12 million in FY2021 (+21.2%) and $53.71 million in FY2020.
- The Q3 2025 figure marks the highest quarterly Operating Expenses in data going back to Q1 2020.
- Compared with a year earlier, Operating Expenses was higher in three of the last eight quarters, with growth averaging 21.8%.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2025 (growth of 380.4%); the worst was Q3 2024 (a decline of 73.2%).
- Per Business Quant data, IMA's Operating Expenses in the three quarters before Q3 2025 was $7.36 million (Q2 2025), $6.8 million (Q1 2025) and $24.62 million (Q4 2024).
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 | ImageneBio | 65.24 Mn | -450.07 Mn | - | 17.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.31 Mn |
| Jun 30, 2026 | 11.78 Mn |
| Mar 31, 2026 | 12.08 Mn |
| Dec 31, 2025 | 8.91 Mn |
| Sep 30, 2025 | 26.19 Mn |
| Jun 30, 2025 | 7.36 Mn |
| Mar 31, 2025 | 6.80 Mn |
| Dec 31, 2024 | 24.62 Mn |
| Sep 30, 2024 | 5.54 Mn |
| Jun 30, 2024 | 15.82 Mn |
| Mar 31, 2024 | 18.23 Mn |
| Dec 31, 2023 | 22.57 Mn |
| Sep 30, 2023 | 20.69 Mn |
| Jun 30, 2023 | 20.49 Mn |
| Mar 31, 2023 | 20.83 Mn |
| Dec 31, 2022 | 20.56 Mn |
| Sep 30, 2022 | 24.28 Mn |
| Jun 30, 2022 | 21.33 Mn |
| Mar 31, 2022 | 20.35 Mn |
| Dec 31, 2021 | 17.43 Mn |
API Access
ImageneBio 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=IMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "IMA", "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=IMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();