MAIA Biotechnology (MAIA) Interest Expenses (2021 - 2024)
MAIA Biotechnology (MAIA) recorded Interest Expenses of -$28.00 in Q4 2024.
Analysis
MAIA Biotechnology (MAIA) Interest Expenses (2021 - 2024) Analysis & Trends
For FY2024, MAIA Biotechnology reported Interest Expenses of $57.00, down 99.2% from FY2023.
- Annual Interest Expenses has declined for three straight years, with a three-year compound annual growth rate of -95.9% (FY2021 to FY2024).
- Across earlier years, Interest Expenses came in at $6,863 in FY2023 (-1.5%), $6,967 in FY2022 (-99.2%) and $827,539 in FY2021.
- The Q4 2024 figure is the lowest quarterly Interest Expenses in data going back to Q2 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,148.13 Bn | 1,116.72 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 630.09 Bn | 548.62 Bn | 17.26 Bn | 281.00 Mn |
| 3 | AbbVie | 498.99 Bn | 472.10 Bn | 12.70 Bn | - |
| 4 | Merck | 374.92 Bn | 329.30 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 300.99 Bn | 264.98 Bn | 11.24 Bn | 462.00 Mn |
| 6 | Astrazeneca | 264.63 Bn | 238.32 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 239.15 Bn | 194.55 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 192.23 Bn | 166.43 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 171.17 Bn | 117.82 Bn | 10.94 Bn | - |
| 10 | MAIA Biotechnology | 69.31 Mn | -12.25 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -28.00 |
| Sep 30, 2024 | 85.00 |
| Sep 30, 2023 | 1.00 |
| Jun 30, 2023 | 1,715.00 |
| Mar 31, 2023 | 5,147.00 |
| Dec 31, 2022 | 5,147.00 |
| Sep 30, 2022 | 1,716.00 |
| Jun 30, 2022 | 104.00 |
| Sep 30, 2021 | 451,306.00 |
| Jun 30, 2021 | 313,466.00 |
API Access
MAIA Biotechnology Interest 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=interest-expenses&ticker=MAIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=MAIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();