Applied Digital (APLD) Dividends Paid - Common (QoQ) (2026)
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Analysis
Applied Digital (APLD) Dividends Paid - Common (QoQ) (2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Equinix | 104.32 Bn | 102.12 Bn | 1.40 Bn |
| 2 | Terawulf | 8.71 Bn | 5.94 Bn | 32.37 Mn |
| 3 | Applied Digital | 8.12 Bn | 6.10 Bn | 97.29 Mn |
| 4 | Cipher Digital | 7.83 Bn | 3.83 Bn | 9.79 Mn |
| 5 | GDS Holdings | 7.07 Bn | 5.01 Bn | 97.89 Mn |
| 6 | Core Scientific | 5.87 Bn | 3.93 Bn | 70.04 Mn |
| 7 | Vnet | 1.95 Bn | 1.06 Bn | 74.45 Mn |
| 8 | Sify Technologies | 1.53 Bn | 1.53 Bn | 51.65 Mn |
| 9 | WhiteFiber | 771.39 Mn | 711.02 Mn | 18.88 Mn |
| 10 | Vulcan Infrastructure & Power | 455.54 Mn | 452.34 Mn | -1.25 Mn |
API Access
Applied Digital Dividends Paid - Common (QoQ) 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=dividends-paid-common-qoq&ticker=APLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-paid-common-qoq", "ticker": "APLD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=dividends-paid-common-qoq&ticker=APLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();