Veritone (VERI) Interest Expenses (2017)
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Analysis
Veritone (VERI) Interest Expenses (2017) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 242.71 Bn | 227.79 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 226.31 Bn | 206.71 Bn | 1.10 Bn | 6.05 Mn |
| 3 | Snowflake | 101.65 Bn | 88.97 Bn | 1.04 Bn | 2.08 Mn |
| 4 | Fortinet | 89.39 Bn | 73.64 Bn | 1.64 Bn | 3.00 Mn |
| 5 | Datadog | 64.14 Bn | 44.69 Bn | 959.92 Mn | 3.24 Mn |
| 6 | Zscaler | 32.12 Bn | 18.27 Bn | 689.22 Mn | 2.75 Mn |
| 7 | Okta | 30.80 Bn | 20.90 Bn | 641.00 Mn | -19.00 Mn |
| 8 | MongoDB | 26.36 Bn | 16.83 Bn | 569.77 Mn | 924,000.00 |
| 9 | Axon Enterprise | 25.15 Bn | 19.68 Bn | 546.45 Mn | 28.10 Mn |
| 10 | Veritone | 49.13 Mn | -42.04 Mn | 15.46 Mn | - |
API Access
Veritone 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=VERI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "VERI", "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=VERI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();