Immuneering (IMRX) Change in Accrued Expenses (2020 - 2026)
Immuneering's Change in Accrued Expenses came in at $3.4 million for Q3 2026, up 43.8% from $2.37 million a year earlier and up 230.2% from the prior quarter.
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Analysis
Immuneering (IMRX) Change in Accrued Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Immuneering reported Change in Accrued Expenses of $646,272, down 71.8% year-over-year; for FY2025, it came in at $2.9 million.
- Change in Accrued Expenses carries a five-year compound annual growth rate of 42.8% (FY2020 to FY2025).
- Going back by year, Change in Accrued 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 Q3 2026 figure represents the highest quarterly Change in Accrued Expenses in data going back to Q3 2020.
- Year-over-year, Change in Accrued Expenses increased in three of the last six quarters, with growth averaging 47.0%.
- The fastest year-over-year change in Change in Accrued 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 Accrued Expenses at $1.03 million (Q2 2026), -$4.78 million (Q1 2026) and $990,501 (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 983.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | - |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | -87.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 756.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Immuneering | 249.34 Mn | -375.49 Mn | - | 3.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.40 Mn |
| 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 |
API Access
Immuneering Change in Accrued 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();