Applied Digital (APLD) Gains from Sales and Divestitures (2023 - 2026)
Applied Digital's Gains from Sales and Divestitures came in at -$14.13 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), compared with -$2.24 million a year earlier.
Applied Digital (APLD) Gains from Sales and Divestitures (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 31, 2026, Applied Digital reported Gains from Sales and Divestitures of -$71.53 million; for FY2026 (ended May 31, 2026), it came in at -$59.65 million.
- Going back by fiscal year, Gains from Sales and Divestitures was $24.62 million in FY2025 and -$15.42 million in FY2024.
- The five-year range for quarterly Gains from Sales and Divestitures is -$57.41 million (fiscal Q3 2026) to $24.81 million (fiscal Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn |
| 10 | Applied Digital | 5.62 Bn | -2.57 Bn | 96.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | -14.13 Mn |
| Feb 28, 2026 | -57.41 Mn |
| Aug 31, 2025 | -2.24 Mn |
| Nov 30, 2024 | -192,000.00 |
| Aug 31, 2024 | 24.81 Mn |
| May 31, 2024 | 6.31 Mn |
| Feb 29, 2024 | -21.72 Mn |
| Nov 30, 2023 | -16,000.00 |
| Aug 31, 2023 | -173,000.00 |
Applied Digital Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=APLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=APLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();