Zomedica (ZOMDF) Non Operating Interest Expenses (2019 - 2023)
Zomedica (ZOMDF) posted Non Operating Interest Expenses of $175,000 for FY2023, compared with $1,000 in FY2022.
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Analysis
Zomedica (ZOMDF) Non Operating Interest Expenses (2019 - 2023) Analysis & Trends
Since FY2019, Zomedica has reported Non Operating Interest Expenses for 5 years.
- Annual Non Operating Interest Expenses shows a four-year compound annual growth rate of 75.8% (FY2019 to FY2023).
- The FY2023 figure stands as the highest annual Non Operating Interest Expenses in data going back to FY2019.
- Business Quant data shows ZOMDF's Non Operating Interest Expenses at $1,000 in FY2022 (-83.3%), $6,000 in FY2021 (+719.7%), $732.00 in FY2020 (-96.0%) and $18,338 in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 217.00 Mn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | - |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 462.00 Mn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | - |
| 10 | Zomedica | 78.40 Mn | -119.63 Mn | 6.04 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 64,000.00 |
| Jun 30, 2023 | 62,000.00 |
| Mar 31, 2023 | 50,000.00 |
| Dec 31, 2021 | -54.00 |
| Jun 30, 2021 | 6,054.00 |
| Mar 31, 2020 | 651.00 |
| Jun 30, 2019 | 12,164.00 |
| Mar 31, 2019 | 6,174.00 |
API Access
Zomedica 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=ZOMDF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "ZOMDF", "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=ZOMDF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();