Applied Digital (APLD) Revenue (2022 - 2026)
Applied Digital (APLD) recorded Revenue of $341.88 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 322.4% from $80.93 million a year earlier and up 32.1% from the prior quarter.
Powered by 
Analysis
Applied Digital (APLD) Revenue (2022 - 2026) Analysis & Trends
On a TTM basis, Applied Digital's Revenue came in at $853.85 million as of Aug 31, 2026, up 286.2% year-over-year; for FY2026 (ended May 31, 2026), it came in at $611.31 million, up 167.5% from FY2025.
- Annual Revenue has increased for four straight fiscal years, with a four-year compound annual growth rate of 190.8% (FY2022 to FY2026).
- Across earlier fiscal years, Revenue came in at $228.57 million in FY2025 (+38.0%), $165.58 million in FY2024 (+198.9%), $55.39 million in FY2023 (+547.9%) and $8.55 million in FY2022.
- The fiscal Q1 2027 figure is the highest quarterly Revenue in data going back to fiscal Q3 2022.
- On a year-over-year basis, Revenue has increased for seven consecutive quarters, with growth averaging 159.4% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 424.6% in fiscal Q1 2024, against a decline of 14.3% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $258.75 million (Q4 2026), $126.64 million (Q3 2026) and $126.59 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | 90.01 Bn |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | 17.16 Bn |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn | 696.06 Mn |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn | 2.63 Bn |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | 582.30 Mn |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn | 2.58 Bn |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn | 434.60 Mn |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | 757.08 Mn |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | 1.30 Bn |
| 10 | Applied Digital | 5.62 Bn | -2.57 Bn | 96.17 Mn | 341.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 341.88 Mn |
| May 31, 2026 | 258.75 Mn |
| Feb 28, 2026 | 126.64 Mn |
| Nov 30, 2025 | 126.59 Mn |
| Aug 31, 2025 | 80.93 Mn |
| May 31, 2025 | 51.08 Mn |
| Feb 28, 2025 | 52.92 Mn |
| Nov 30, 2024 | 36.16 Mn |
| Aug 31, 2024 | 34.85 Mn |
| May 31, 2024 | 43.70 Mn |
| Feb 29, 2024 | 43.35 Mn |
| Nov 30, 2023 | 42.20 Mn |
| Aug 31, 2023 | 36.32 Mn |
| May 31, 2023 | 22.04 Mn |
| Feb 28, 2023 | 14.09 Mn |
| Nov 30, 2022 | 12.34 Mn |
| Aug 31, 2022 | 6.92 Mn |
| May 31, 2022 | 7.52 Mn |
| Feb 28, 2022 | 1.03 Mn |
API Access
Applied Digital Revenue 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=revenue&ticker=APLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=APLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();