Applied Digital (APLD) Gross Margin (2022 - 2026)
Applied Digital (APLD) posted Gross Margin of 28.13% for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 0.82 percentage points from 27.31% a year earlier but down 9.47 percentage points from the prior quarter.
Applied Digital (APLD) Gross Margin (2022 - 2026) Analysis & Trends
For the trailing twelve months through Aug 31, 2026, Gross Margin at Applied Digital was 32.01%, up 15.61 percentage points year-over-year; for FY2026 (ended May 31, 2026), it was 35.08%, up 29.91 percentage points from FY2025.
- Annual Gross Margin shows a four-year change of +46.28 percentage points (FY2022 to FY2026).
- In prior fiscal years, Applied Digital's Gross Margin was 5.17% in FY2025 (-5.24 pp), 10.41% in FY2024 (-9.46 pp), 19.87% in FY2023 (+31.06 pp) and -11.19% in FY2022.
- Quarterly Gross Margin has run from a low of -102.05% in fiscal Q3 2022 to a high of 42.49% in fiscal Q3 2026 over five years.
- On a year-over-year basis, Gross Margin has increased in each of the last three quarters, with an average year-over-year change of +9.88 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Gross Margin in the past five years was fiscal Q3 2023, with a gain of 127.29 percentage points; the weakest was fiscal Q3 2024, with a drop of 33.81 percentage points.
- According to Business Quant data, Gross Margin for the three prior fiscal quarters was 37.60% (Q4 2026), 42.49% (Q3 2026) and 20.57% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | 67.20% |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | 57.73% |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn | 71.76% |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn | 53.14% |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | 77.06% |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn | 65.86% |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn | 88.50% |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | 86.03% |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | 63.81% |
| 10 | Applied Digital | 5.62 Bn | -2.57 Bn | 96.17 Mn | 28.13% |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 28.13% |
| May 31, 2026 | 37.60% |
| Feb 28, 2026 | 42.49% |
| Nov 30, 2025 | 20.57% |
| Aug 31, 2025 | 27.31% |
| May 31, 2025 | -6.11% |
| Feb 28, 2025 | 7.14% |
| Nov 30, 2024 | 37.34% |
| Aug 31, 2024 | 34.74% |
| May 31, 2024 | -5.93% |
| Feb 29, 2024 | -8.57% |
| Nov 30, 2023 | 29.46% |
| Aug 31, 2023 | 30.56% |
| May 31, 2023 | 27.63% |
| Feb 28, 2023 | 25.24% |
| Nov 30, 2022 | 4.28% |
| Aug 31, 2022 | 12.00% |
| May 31, 2022 | 1.20% |
| Feb 28, 2022 | -102.05% |
Applied Digital Gross Margin 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=gross-margin&ticker=APLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=APLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();