Applied Digital (APLD) Return on Assets [ROA] (2022 - 2026)
Applied Digital's Return on Assets [ROA] was -3.25% in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 8.17 percentage points from -11.42% a year earlier but down 0.97 percentage points from the prior quarter.
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Analysis
Applied Digital (APLD) Return on Assets [ROA] (2022 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Return on Assets [ROA] at Applied Digital came in at -3.12%, up 14.43 percentage points from FY2025.
- Return on Assets [ROA] shows a four-year change of +31.73 percentage points (FY2022 to FY2026).
- In earlier fiscal years, Return on Assets [ROA] was -17.55% in FY2025 (+11.60 pp), -29.15% in FY2024 (-5.40 pp), -23.76% in FY2023 (+11.09 pp) and -34.85% in FY2022.
- Quarterly Return on Assets [ROA] has moved between -25.96% (fiscal Q2 2023) and -2.28% (fiscal Q4 2026) over five years.
- Compared with a year earlier, Return on Assets [ROA] has increased for seven straight quarters, with an average year-over-year change of +6.48 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Assets [ROA] over five years was fiscal Q2 2026 (a gain of 18.66 percentage points); the worst was fiscal Q2 2025 (a drop of 12.97 percentage points).
- Per Business Quant data, APLD's Return on Assets [ROA] in the three fiscal quarters before Q1 2027 was -2.28% (Q4 2026), -2.69% (Q3 2026) and -3.13% (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | 18.42% |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | 6.96% |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn | -3.26% |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn | 3.73% |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | 0.25% |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn | -2.91% |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn | 54.84% |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | 35.49% |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | 11.27% |
| 10 | Applied Digital | 5.62 Bn | -2.57 Bn | 96.17 Mn | -3.25% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | -3.25% |
| May 31, 2026 | -2.28% |
| Feb 28, 2026 | -2.69% |
| Nov 30, 2025 | -3.13% |
| Aug 31, 2025 | -11.42% |
| May 31, 2025 | -12.92% |
| Feb 28, 2025 | -14.95% |
| Nov 30, 2024 | -21.79% |
| Aug 31, 2024 | -16.71% |
| May 31, 2024 | -21.29% |
| Feb 29, 2024 | -16.39% |
| Nov 30, 2023 | -8.82% |
| Aug 31, 2023 | -17.22% |
| May 31, 2023 | -19.34% |
| Feb 28, 2023 | -22.17% |
| Nov 30, 2022 | -25.96% |
| Aug 31, 2022 | -10.60% |
| May 31, 2022 | -25.65% |
API Access
Applied Digital Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=APLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=APLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();