Immix Biopharma (IMMX) Change in Accrued Expenses (2021 - 2026)
Immix Biopharma's Change in Accured Expenses came in at -$1.23 million for Q2 2026, compared with $524,186 a year earlier.
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Analysis
Immix Biopharma (IMMX) Change in Accrued Expenses (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Immix Biopharma reported Change in Accured Expenses of -$549,166; for FY2025, it came in at $1.03 million, down 76.7% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of 59.0% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $4.4 million in FY2024 (+80.8%), $2.43 million in FY2023 (+115.1%), $1.13 million in FY2022 (+841.9%) and $120,154 in FY2021 (+18.9%).
- The Q2 2026 figure represents the lowest quarterly Change in Accured Expenses since Q2 2024.
- Year-over-year, Change in Accured Expenses increased in three of the last five quarters, with growth averaging 88.4%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q1 2024 (growth of 908.7%), and the weakest in Q1 2025 (a decline of 86.6%).
- Business Quant data shows IMMX's Change in Accured Expenses at $432,207 (Q1 2026), -$790,864 (Q4 2025) and $1.04 million (Q3 2025) in the three quarters before Q2 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 | Immix Biopharma | 597.32 Mn | 365.22 Mn | - | -1.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.23 Mn |
| Mar 31, 2026 | 432,207.00 |
| Dec 31, 2025 | -790,864.00 |
| Sep 30, 2025 | 1.04 Mn |
| Jun 30, 2025 | 524,186.00 |
| Mar 31, 2025 | 258,718.00 |
| Dec 31, 2024 | 2.28 Mn |
| Sep 30, 2024 | 2.00 Mn |
| Jun 30, 2024 | -1.80 Mn |
| Mar 31, 2024 | 1.92 Mn |
| Dec 31, 2023 | 854,219.00 |
| Sep 30, 2023 | 451,957.00 |
| Jun 30, 2023 | 937,485.00 |
| Mar 31, 2023 | 190,806.00 |
| Dec 31, 2022 | 624,791.00 |
| Sep 30, 2022 | -330,542.00 |
| Jun 30, 2022 | 676,562.00 |
| Mar 31, 2022 | 160,925.00 |
| Dec 31, 2021 | -80,680.00 |
| Sep 30, 2021 | 267,467.00 |
API Access
Immix Biopharma 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=IMMX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "IMMX", "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=IMMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();