Realloys (ALOY) Return on Equity [ROE] (2015 - 2026)
Realloys (ALOY) posted Return on Equity [ROE] of -86.81% for Q2 2026, up 46.03 percentage points from the prior quarter.
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Analysis
Realloys (ALOY) Return on Equity [ROE] (2015 - 2026) Analysis & Trends
For FY2025, Realloys' Return on Equity [ROE] came in at -28.92%, up 306.66 percentage points from FY2024.
- Annual Return on Equity [ROE] shows a four-year change of +57.41 percentage points (FY2021 to FY2025).
- In prior years, Realloys' Return on Equity [ROE] was -335.59% in FY2024 (-237.12 pp), -98.46% in FY2023 (+1.98 pp), -100.45% in FY2022 (-14.11 pp) and -86.33% in FY2021.
- Quarterly Return on Equity [ROE] has run from a low of -662.86% in Q4 2024 to a high of -21.79% in Q4 2025 over five years.
- On a year-over-year basis, Return on Equity [ROE] increased in two of the last four quarters, with an average year-over-year change of -108.16 percentage points.
- The strongest year-over-year quarter for Return on Equity [ROE] in the past five years was Q4 2025, with a gain of 641.07 percentage points; the weakest was Q4 2024, with a drop of 601.29 percentage points.
- According to Business Quant data, Return on Equity [ROE] for the three prior quarters was -132.84% (Q1 2026), -21.79% (Q4 2025) and -535.90% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 32.87% |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 34.32% |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 17.88% |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 26.65% |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 13.78% |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 71.29% |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 23.05% |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | -90.07% |
| 10 | Realloys | 561.95 Mn | 561.95 Mn | 475,000.00 | -86.81% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -86.81% |
| Mar 31, 2026 | -132.84% |
| Dec 31, 2025 | -21.79% |
| Sep 30, 2025 | -535.90% |
| Dec 31, 2024 | -662.86% |
| Sep 30, 2024 | -52.95% |
| Jun 30, 2024 | -50.01% |
| Mar 31, 2024 | -52.41% |
| Dec 31, 2023 | -61.58% |
| Sep 30, 2023 | -63.49% |
| Jun 30, 2023 | -123.97% |
| Mar 31, 2023 | -361.19% |
| Dec 31, 2022 | -184.96% |
| Sep 30, 2022 | -147.10% |
| Jun 30, 2022 | -95.08% |
| Mar 31, 2022 | -56.69% |
| Dec 31, 2021 | -85.82% |
| Dec 31, 2017 | -8,934.68% |
| Sep 30, 2017 | -357.44% |
| Jun 30, 2017 | -181.73% |
API Access
Realloys 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=ALOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "ticker": "ALOY", "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=ALOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();