Applied Digital (APLD) EBITDA Margin (2022 - 2026)
Applied Digital's EBITDA Margin came in at -4.26% for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 3.32 percentage points from -0.94% a year earlier but up 30.90 percentage points from the prior quarter.
Applied Digital (APLD) EBITDA Margin (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 31, 2026, Applied Digital reported EBITDA Margin of -21.78%, down 25.75 percentage points year-over-year; for FY2026 (ended May 31, 2026), it was -26.62%, down 58.17 percentage points from FY2025.
- EBITDA Margin carries a four-year change of +204.73 percentage points (FY2022 to FY2026).
- Going back by fiscal year, EBITDA Margin was 31.54% in FY2025 (+39.86 pp), -8.31% in FY2024 (+54.67 pp), -62.98% in FY2023 (+168.37 pp) and -231.35% in FY2022.
- The five-year range for quarterly EBITDA Margin is -228.95% (fiscal Q3 2022) to 179.00% (fiscal Q1 2025).
- Year-over-year, EBITDA Margin has declined for three consecutive quarters, with an average year-over-year change of -31.03 percentage points over the last eight quarters.
- The fastest year-over-year change in EBITDA Margin over five years came in fiscal Q2 2024 (a gain of 216.98 percentage points), and the weakest in fiscal Q1 2026 (a drop of 179.93 percentage points).
- Business Quant data shows APLD's EBITDA Margin at -35.16% (Q4 2026), -51.21% (Q3 2026) and -12.26% (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | 57.36% |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | 23.10% |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn | -15.49% |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn | 46.55% |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | 18.99% |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn | 53.94% |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn | 69.70% |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | 11.68% |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | 27.41% |
| 10 | Applied Digital | 5.62 Bn | -2.57 Bn | 96.17 Mn | -4.26% |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | -4.26% |
| May 31, 2026 | -35.16% |
| Feb 28, 2026 | -51.21% |
| Nov 30, 2025 | -12.26% |
| Aug 31, 2025 | -0.94% |
| May 31, 2025 | 17.76% |
| Feb 28, 2025 | 16.87% |
| Nov 30, 2024 | -23.36% |
| Aug 31, 2024 | 179.00% |
| May 31, 2024 | 20.16% |
| Feb 29, 2024 | -67.14% |
| Nov 30, 2023 | 13.34% |
| Aug 31, 2023 | 2.42% |
| May 31, 2023 | -7.45% |
| Feb 28, 2023 | -35.93% |
| Nov 30, 2022 | -203.65% |
| Aug 31, 2022 | -43.92% |
| May 31, 2022 | -45.08% |
| Feb 28, 2022 | -228.95% |
Applied Digital EBITDA 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=ebitda-margin&ticker=APLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=APLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();