AIM ImmunoTech (AIM) Receivables (2017 - 2025)
AIM ImmunoTech (AIM) recorded Receivables of $7,000 in Q4 2025.
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Analysis
AIM ImmunoTech (AIM) Receivables (2017 - 2025) Analysis & Trends
Starting with Q1 2017, AIM ImmunoTech's Receivables history includes 25 quarters.
- Annual Receivables has a five-year compound annual growth rate of -63.8% (FY2020 to FY2025).
- Across earlier years, Receivables came in at $1.18 million in FY2023 (-64.7%) and $3.35 million in FY2022.
- The Q4 2025 figure is the highest quarterly Receivables in data going back to Q1 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 23.48 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 19.05 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 13.82 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 12.56 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 9.64 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 15.68 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 10.23 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 5.06 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 12.49 Bn |
| 10 | AIM ImmunoTech | 2.92 Mn | -18.38 Mn | 21,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 7,000.00 |
| Dec 31, 2023 | 1.18 Mn |
| Sep 30, 2023 | 48,000.00 |
| Jun 30, 2023 | 33,000.00 |
| Mar 31, 2023 | 1.76 Mn |
| Dec 31, 2022 | 3.35 Mn |
| Sep 30, 2021 | 28,000.00 |
| Jun 30, 2021 | 28,000.00 |
| Mar 31, 2021 | 1.12 Mn |
| Dec 31, 2020 | 1.12 Mn |
| Sep 30, 2020 | 26,000.00 |
| Jun 30, 2020 | 46,000.00 |
| Mar 31, 2020 | 822,000.00 |
| Dec 31, 2019 | 820,000.00 |
| Sep 30, 2019 | 62,000.00 |
| Jun 30, 2019 | 76,000.00 |
| Mar 31, 2019 | 101,000.00 |
| Dec 31, 2018 | 1.09 Mn |
| Sep 30, 2018 | 28,000.00 |
| Jun 30, 2018 | 35,000.00 |
API Access
AIM ImmunoTech Receivables 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&ticker=AIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "AIM", "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&ticker=AIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();