Applied Digital (APLD) Return on Capital Employed [ROCE] (2022 - 2026)
Applied Digital's Return on Capital Employed [ROCE] came in at -3.29% for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 4.16 percentage points from -7.45% a year earlier and up 0.33 percentage points from the prior quarter.
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Analysis
Applied Digital (APLD) Return on Capital Employed [ROCE] (2022 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Applied Digital's Return on Capital Employed [ROCE] was -4.99%, up 3.84 percentage points from FY2025.
- Return on Capital Employed [ROCE] carries a four-year change of +49.26 percentage points (FY2022 to FY2026).
- Going back by fiscal year, Return on Capital Employed [ROCE] was -8.84% in FY2025, -56.09% in FY2023 (-1.83 pp) and -54.26% in FY2022.
- The five-year range for quarterly Return on Capital Employed [ROCE] is -66.04% (fiscal Q4 2024) to -2.77% (fiscal Q3 2025).
- Year-over-year, Return on Capital Employed [ROCE] increased in seven of the last eight quarters, with an average year-over-year change of +14.37 percentage points.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in fiscal Q4 2025 (a gain of 62.12 percentage points), and the weakest in fiscal Q4 2024 (a drop of 30.39 percentage points).
- Business Quant data shows APLD's Return on Capital Employed [ROCE] at -3.63% (Q4 2026), -3.61% (Q3 2026) and -3.19% (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | 27.85% |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | 9.40% |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn | -9.60% |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn | 5.75% |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | -2.94% |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn | -0.51% |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn | - |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | 10.69% |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | 25.57% |
| 10 | Applied Digital | 5.62 Bn | -2.57 Bn | 96.17 Mn | -3.29% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | -3.29% |
| May 31, 2026 | -3.63% |
| Feb 28, 2026 | -3.61% |
| Nov 30, 2025 | -3.19% |
| Aug 31, 2025 | -7.45% |
| May 31, 2025 | -3.92% |
| Feb 28, 2025 | -2.77% |
| Nov 30, 2024 | -8.65% |
| Aug 31, 2024 | -14.17% |
| May 31, 2024 | -66.04% |
| Feb 29, 2024 | -35.62% |
| Nov 30, 2023 | -12.85% |
| Aug 31, 2023 | -29.76% |
| May 31, 2023 | -35.65% |
| Feb 28, 2023 | -53.38% |
| Nov 30, 2022 | -43.43% |
| Aug 31, 2022 | -14.49% |
| May 31, 2022 | -33.59% |
API Access
Applied Digital Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=APLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=APLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();