Applied Digital (APLD) Enterprise Value (2022 - 2026)
Applied Digital (APLD) posted Enterprise Value of $6.61 billion for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 56.3% from $4.23 billion a year earlier but down 52.7% from the prior quarter.
Applied Digital (APLD) Enterprise Value (2022 - 2026) Analysis & Trends
For the trailing twelve months through Aug 31, 2026, Enterprise Value at Applied Digital was $1.37 billion, down 64.1% year-over-year; for FY2026 (ended May 31, 2026), it came in at $13.98 billion, up 836.6% from FY2025.
- Annual Enterprise Value shows a four-year compound annual growth rate of 175.1% (FY2022 to FY2026).
- In prior fiscal years, Applied Digital's Enterprise Value was $1.49 billion in FY2025 (+211.4%), $479.14 million in FY2024 (-38.9%), $784.06 million in FY2023 (+221.2%) and $244.07 million in FY2022.
- Quarterly Enterprise Value has run from a low of $173.56 million in fiscal Q2 2023 to a high of $13.98 billion in fiscal Q4 2026 over five years.
- On a year-over-year basis, Enterprise Value has increased in each of the last eight quarters, with growth averaging 355.8% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was fiscal Q4 2026, with growth of 836.6%; the weakest was fiscal Q4 2024, with a decline of 38.9%.
- According to Business Quant data, Enterprise Value for the three prior fiscal quarters was $13.98 billion (Q4 2026), $6.98 billion (Q3 2026) and $6.17 billion (Q2 2026).
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 | 6.61 Bn |
| May 31, 2026 | 13.98 Bn |
| Feb 28, 2026 | 6.98 Bn |
| Nov 30, 2025 | 6.17 Bn |
| Aug 31, 2025 | 4.23 Bn |
| May 31, 2025 | 1.49 Bn |
| Feb 28, 2025 | 1.73 Bn |
| Nov 30, 2024 | 1.90 Bn |
| Aug 31, 2024 | 516.43 Mn |
| May 31, 2024 | 479.14 Mn |
| Feb 29, 2024 | 503.60 Mn |
| Nov 30, 2023 | 540.59 Mn |
| Aug 31, 2023 | 633.39 Mn |
| May 31, 2023 | 784.06 Mn |
| Feb 28, 2023 | 237.97 Mn |
| Nov 30, 2022 | 173.56 Mn |
| Aug 31, 2022 | 187.79 Mn |
| May 31, 2022 | 244.07 Mn |
Applied Digital Enterprise Value 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=enterprise-value&ticker=APLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=APLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();