Azora Therapeutics, Inc. (DE) (AZR) Non Operating Interest Expenses (2017 - 2023)
Azora Therapeutics, Inc. (DE) (AZR) reported Non Operating Interest Expenses of $14,000 for Q1 2023.
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Analysis
Azora Therapeutics, Inc. (DE) (AZR) Non Operating Interest Expenses (2017 - 2023) Analysis & Trends
Over the twelve months ended Mar 31, 2023, Azora Therapeutics, Inc. (DE)'s Non Operating Interest Expenses came in at $51.02 million; for FY2018, it was $24,431, down 76.0% from FY2017.
- By year, Non Operating Interest Expenses came in at $101,637 in FY2017.
- The Q1 2023 figure ranks as the highest quarterly Non Operating Interest Expenses since Q1 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,359.75 Bn | 1,333.37 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 688.76 Bn | 608.62 Bn | 17.30 Bn | 217.00 Mn |
| 3 | AbbVie | 521.69 Bn | 489.75 Bn | 13.12 Bn | - |
| 4 | Merck | 364.31 Bn | 327.31 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 306.35 Bn | 279.93 Bn | - | - |
| 6 | Astrazeneca | 285.96 Bn | 259.56 Bn | 13.26 Bn | -477.00 Mn |
| 7 | Amgen | 251.88 Bn | 203.53 Bn | 7.58 Bn | 653.00 Mn |
| 8 | Gilead Sciences | 208.59 Bn | 183.61 Bn | 6.73 Bn | 269.00 Mn |
| 9 | Pfizer | 164.73 Bn | 112.38 Bn | 12.56 Bn | - |
| 10 | Azora Therapeutics, Inc. (DE) | 58.43 Mn | -2.79 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 14,000.00 |
| Mar 31, 2019 | 51.00 Mn |
| Sep 30, 2018 | 1,068.00 |
| Jun 30, 2018 | 50,889.00 |
| Mar 31, 2018 | 23,363.00 |
| Dec 31, 2017 | 163,976.00 |
| Sep 30, 2017 | -30,210.00 |
| Jun 30, 2017 | 22,826.00 |
API Access
Azora Therapeutics, Inc. (DE) Non Operating 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=non-operating-interest-expenses&ticker=AZR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "AZR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=AZR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();