Inmune Bio (INMB) Accumulated Expenses (2017 - 2026)
Inmune Bio's Accumulated Expenses was $139,000 in Q2 2024, compared with $9,000 a year earlier and up 148.2% from the prior quarter.
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Analysis
Inmune Bio (INMB) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2023, Accumulated Expenses at Inmune Bio came in at $35,000, up 288.9% from FY2022.
- In earlier years, Accumulated Expenses was $9,000 in FY2022.
- Per Business Quant data, INMB's Accumulated Expenses in the three quarters before Q2 2024 was $56,000 (Q1 2024), $35,000 (Q4 2023) and $79,000 (Q3 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 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 |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Inmune Bio | 30.71 Mn | -50.14 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25,000.00 |
| Mar 31, 2026 | 25,000.00 |
| Dec 31, 2025 | 25,000.00 |
| Sep 30, 2025 | 25,000.00 |
| Jun 30, 2025 | 184,000.00 |
| Mar 31, 2025 | 103,000.00 |
| Dec 31, 2024 | 25,000.00 |
| Sep 30, 2024 | 55,000.00 |
| Jun 30, 2024 | 139,000.00 |
| Mar 31, 2024 | 56,000.00 |
| Dec 31, 2023 | 35,000.00 |
| Sep 30, 2023 | 79,000.00 |
| Jun 30, 2023 | 9,000.00 |
| Mar 31, 2023 | 9,000.00 |
| Dec 31, 2022 | 9,000.00 |
| Sep 30, 2022 | 8,000.00 |
| Jun 30, 2022 | 9,000.00 |
| Mar 31, 2022 | 9,000.00 |
| Dec 31, 2021 | 80,000.00 |
| Sep 30, 2021 | 10,000.00 |
API Access
Inmune Bio Accumulated 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=accumulated-expenses&ticker=INMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "INMB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=INMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();