Immuneering (IMRX) Operating Expenses (2020 - 2026)
Immuneering's Operating Expenses was $19 million in Q2 2026, up 28.7% from $14.76 million a year earlier and up 23.9% from the prior quarter.
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Analysis
Immuneering (IMRX) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Immuneering's Operating Expenses was $63.47 million through Jun 30, 2026, down 0.9% year-over-year; for FY2025, it came in at $59.38 million, down 7.3% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 26.8% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $64.07 million in FY2024 (+9.7%), $58.41 million in FY2023 (+12.5%), $51.9 million in FY2022 (+49.1%) and $34.81 million in FY2021 (+92.2%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q2 2020.
- Compared with a year earlier, Operating Expenses was higher in five of the last eight quarters, with growth averaging 3.3%.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2022 (growth of 98.0%); the worst was Q4 2025 (a decline of 25.9%).
- Per Business Quant data, IMRX's Operating Expenses in the three quarters before Q2 2026 was $15.34 million (Q1 2026), $13.75 million (Q4 2025) and $15.38 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Immuneering | 241.32 Mn | -465.67 Mn | - | 19.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.00 Mn |
| Mar 31, 2026 | 15.34 Mn |
| Dec 31, 2025 | 13.75 Mn |
| Sep 30, 2025 | 15.38 Mn |
| Jun 30, 2025 | 14.76 Mn |
| Mar 31, 2025 | 15.48 Mn |
| Dec 31, 2024 | 18.56 Mn |
| Sep 30, 2024 | 15.27 Mn |
| Jun 30, 2024 | 14.91 Mn |
| Mar 31, 2024 | 15.33 Mn |
| Dec 31, 2023 | 16.30 Mn |
| Sep 30, 2023 | 13.93 Mn |
| Jun 30, 2023 | 13.50 Mn |
| Mar 31, 2023 | 14.68 Mn |
| Dec 31, 2022 | 13.99 Mn |
| Sep 30, 2022 | 13.21 Mn |
| Jun 30, 2022 | 11.69 Mn |
| Mar 31, 2022 | 13.02 Mn |
| Dec 31, 2021 | 11.10 Mn |
| Sep 30, 2021 | 8.81 Mn |
API Access
Immuneering 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=IMRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "IMRX", "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=IMRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();