Applied Digital (APLD) Return on Equity [ROE] (2022 - 2026)
Applied Digital (APLD) reported Return on Equity [ROE] of -21.09% for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 10.52 percentage points from -31.62% a year earlier but down 9.94 percentage points from the prior quarter.
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Analysis
Applied Digital (APLD) Return on Equity [ROE] (2022 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Applied Digital posted Return on Equity [ROE] of -16.59%, up 57.64 percentage points from FY2025.
- Return on Equity [ROE] has a four-year change of +44.80 percentage points (FY2022 to FY2026).
- By fiscal year, Return on Equity [ROE] came in at -74.24% in FY2025 (+79.66 pp), -153.90% in FY2024 (-92.64 pp), -61.25% in FY2023 (+0.14 pp) and -61.39% in FY2022.
- Five-year quarterly Return on Equity [ROE] spans a low of -123.03% in fiscal Q4 2024 and a high of -9.58% in fiscal Q2 2026.
- Year over year, Return on Equity [ROE] has now increased in each of the last seven quarters, with an average year-over-year change of +30.18 percentage points over the last eight quarters.
- The high point for year-over-year Return on Equity [ROE] in five years was fiscal Q4 2025 (a gain of 74.50 percentage points); the low point was fiscal Q4 2024 (a drop of 58.37 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at -11.15% (Q4 2026), -10.19% (Q3 2026) and -9.58% (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | 31.22% |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | 31.73% |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn | -13.11% |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn | 10.67% |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | 0.70% |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn | -39.41% |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn | - |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | - |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | 746.15% |
| 10 | Applied Digital | 5.62 Bn | -2.57 Bn | 96.17 Mn | -21.09% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | -21.09% |
| May 31, 2026 | -11.15% |
| Feb 28, 2026 | -10.19% |
| Nov 30, 2025 | -9.58% |
| Aug 31, 2025 | -31.62% |
| May 31, 2025 | -48.53% |
| Feb 28, 2025 | -54.65% |
| Nov 30, 2024 | -79.91% |
| Aug 31, 2024 | -77.49% |
| May 31, 2024 | -123.03% |
| Feb 29, 2024 | -67.17% |
| Nov 30, 2023 | -25.80% |
| Aug 31, 2023 | -53.44% |
| May 31, 2023 | -64.66% |
| Feb 28, 2023 | -57.99% |
| Nov 30, 2022 | -54.64% |
| Aug 31, 2022 | -18.05% |
| May 31, 2022 | -66.63% |
API Access
Applied Digital Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=APLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=APLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();