Immuneering (IMRX) Change in Accured Expenses (2020 - 2026)
Immuneering's Change in Accured Expenses came in at $1.03 million for Q2 2026, down 10.4% from $1.15 million a year earlier.
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Analysis
Immuneering (IMRX) Change in Accured Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Immuneering reported Change in Accured Expenses of -$390,086; for FY2025, it came in at $2.9 million.
- Change in Accured Expenses carries a five-year compound annual growth rate of 42.8% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was -$200,831 in FY2024, $721,989 in FY2023 (+52.1%), $474,568 in FY2022 (-85.4%) and $3.24 million in FY2021 (+563.3%).
- The five-year range for quarterly Change in Accured Expenses is -$4.78 million (Q1 2026) to $2.37 million (Q3 2025).
- Year-over-year, Change in Accured Expenses increased in two of the last six quarters, with growth averaging 39.4%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q3 2025 (growth of 183.2%), and the weakest in Q2 2023 (a decline of 96.2%).
- Business Quant data shows IMRX's Change in Accured Expenses at -$4.78 million (Q1 2026), $990,501 (Q4 2025) and $2.37 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Immuneering | 263.32 Mn | 263.32 Mn | - | 1.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.03 Mn |
| Mar 31, 2026 | -4.78 Mn |
| Dec 31, 2025 | 990,501.00 |
| Sep 30, 2025 | 2.37 Mn |
| Jun 30, 2025 | 1.15 Mn |
| Mar 31, 2025 | -1.61 Mn |
| Dec 31, 2024 | 380,304.00 |
| Sep 30, 2024 | 835,677.00 |
| Jun 30, 2024 | 1.35 Mn |
| Mar 31, 2024 | -2.76 Mn |
| Dec 31, 2023 | 1.95 Mn |
| Sep 30, 2023 | 849,878.00 |
| Jun 30, 2023 | 19,269.00 |
| Mar 31, 2023 | -2.09 Mn |
| Dec 31, 2022 | 89,032.00 |
| Sep 30, 2022 | 2.11 Mn |
| Jun 30, 2022 | 507,883.00 |
| Mar 31, 2022 | -2.24 Mn |
| Dec 31, 2021 | 551,080.00 |
| Sep 30, 2021 | 69,982.00 |
API Access
Immuneering Change in Accured 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=change-in-accured-expenses&ticker=IMRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=IMRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();