Inmune Bio (INMB) Receivables - Net (2023 - 2026)
Inmune Bio's Receivables - Net came in at $4.41 million for Q2 2026, up 175.0% from $1.61 million a year earlier and up 821.3% from the prior quarter.
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Analysis
Inmune Bio (INMB) Receivables - Net (2023 - 2026) Analysis & Trends
At the end of FY2025, Inmune Bio's Receivables - Net was $4.28 million, up 262.7% from FY2024.
- Going back by year, Receivables - Net was $1.18 million in FY2024 (-38.0%) and $1.91 million in FY2023.
- The Q2 2026 figure represents the highest quarterly Receivables - Net in data going back to Q4 2023.
- Year-over-year, Receivables - Net increased in three of the last six quarters, with growth averaging 57.0%.
- Business Quant data shows INMB's Receivables - Net at $479,000 (Q1 2026), $4.28 million (Q4 2025) and $1.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn |
| 10 | Inmune Bio | 42.88 Mn | -49.37 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.41 Mn |
| Mar 31, 2026 | 479,000.00 |
| Dec 31, 2025 | 4.28 Mn |
| Sep 30, 2025 | 1.70 Mn |
| Jun 30, 2025 | 1.61 Mn |
| Mar 31, 2025 | 1.28 Mn |
| Dec 31, 2024 | 1.18 Mn |
| Sep 30, 2024 | 1.11 Mn |
| Jun 30, 2024 | 3.14 Mn |
| Dec 31, 2023 | 1.91 Mn |
API Access
Inmune Bio Receivables - Net 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=receivables-net&ticker=INMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=INMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();