VIDA Global (VIDA) Other Non-Current Liabilities (2026)
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Analysis
VIDA Global (VIDA) Other Non-Current Liabilities (2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 265.98 Bn | 251.06 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 231.16 Bn | 211.60 Bn | 1.10 Bn |
| 3 | Snowflake | 104.28 Bn | 91.59 Bn | 1.04 Bn |
| 4 | Fortinet | 90.77 Bn | 75.03 Bn | 1.64 Bn |
| 5 | Datadog | 64.41 Bn | 44.95 Bn | 959.92 Mn |
| 6 | Zscaler | 31.78 Bn | 17.94 Bn | 689.22 Mn |
| 7 | Okta | 29.81 Bn | 21.96 Bn | 641.00 Mn |
| 8 | Baidu | 27.12 Bn | -46.32 Bn | 1.80 Bn |
| 9 | MongoDB | 26.74 Bn | 17.21 Bn | 569.77 Mn |
| 10 | VIDA Global | 10.65 Mn | -7.69 Mn | 157,540.00 |
API Access
VIDA Global Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=VIDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "ticker": "VIDA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-non-current-liabilities&ticker=VIDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();