Immuneering (IMRX) Total Current Liabilities (2020 - 2026)
Immuneering's Total Current Liabilities was $10.79 million in Q3 2026, up 13.1% from $9.55 million a year earlier and up 33.0% from the prior quarter.
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Analysis
Immuneering (IMRX) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Immuneering came in at $10.07 million, up 34.2% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 34.9% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $7.5 million in FY2024 (-4.4%), $7.85 million in FY2023 (-2.6%), $8.05 million in FY2022 (+43.0%) and $5.63 million in FY2021 (+149.7%).
- The Q3 2026 figure marks the highest quarterly Total Current Liabilities in data going back to Q4 2020.
- Compared with a year earlier, Total Current Liabilities was higher in five of the last eight quarters, with growth averaging 12.0%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q4 2021 (growth of 149.7%); the worst was Q3 2023 (a decline of 22.5%).
- Per Business Quant data, IMRX's Total Current Liabilities in the three quarters before Q3 2026 was $8.12 million (Q2 2026), $4.97 million (Q1 2026) and $10.07 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 28.80 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 23.23 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 31.73 Bn |
| 10 | Immuneering | 246.36 Mn | -378.47 Mn | - | 10.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.79 Mn |
| Jun 30, 2026 | 8.12 Mn |
| Mar 31, 2026 | 4.97 Mn |
| Dec 31, 2025 | 10.07 Mn |
| Sep 30, 2025 | 9.55 Mn |
| Jun 30, 2025 | 7.49 Mn |
| Mar 31, 2025 | 5.11 Mn |
| Dec 31, 2024 | 7.50 Mn |
| Sep 30, 2024 | 6.92 Mn |
| Jun 30, 2024 | 6.78 Mn |
| Mar 31, 2024 | 5.18 Mn |
| Dec 31, 2023 | 7.85 Mn |
| Sep 30, 2023 | 5.62 Mn |
| Jun 30, 2023 | 5.48 Mn |
| Mar 31, 2023 | 5.53 Mn |
| Dec 31, 2022 | 8.05 Mn |
| Sep 30, 2022 | 7.26 Mn |
| Jun 30, 2022 | 3.80 Mn |
| Mar 31, 2022 | 3.67 Mn |
| Dec 31, 2021 | 5.63 Mn |
API Access
Immuneering Total Current Liabilities 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=total-current-liabilities&ticker=IMRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=IMRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();