MAIA Biotechnology (MAIA) Change in Receivables (2022 - 2023)
MAIA Biotechnology (MAIA) posted Change in Receivables of $16,208 for Q4 2023, down 58.7% from $39,207 a year earlier.
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Analysis
MAIA Biotechnology (MAIA) Change in Receivables (2022 - 2023) Analysis & Trends
For FY2023, MAIA Biotechnology's Change in Receivables came in at -$158,405.
- In prior years, MAIA Biotechnology's Change in Receivables was $269,395 in FY2022.
- Quarterly Change in Receivables has run from a low of -$265,622 in Q3 2023 to a high of $65,111 in Q3 2022 over five years.
- According to Business Quant data, Change in Receivables for the three prior quarters was -$265,622 (Q3 2023), $39,766 (Q2 2023) and $51,243 (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (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 | 1.35 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 1.37 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 | 1.09 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 333.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | MAIA Biotechnology | 69.31 Mn | -12.25 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 16,208.00 |
| Sep 30, 2023 | -265,622.00 |
| Jun 30, 2023 | 39,766.00 |
| Mar 31, 2023 | 51,243.00 |
| Dec 31, 2022 | 39,207.00 |
| Sep 30, 2022 | 65,111.00 |
API Access
MAIA Biotechnology Change in 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=change-in-receivables&ticker=MAIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "ticker": "MAIA", "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-receivables&ticker=MAIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();