Realloys (ALOY) Return on Assets [ROA] (2015 - 2026)
Realloys (ALOY) posted Return on Assets [ROA] of -74.54% for Q2 2026, down 36.49 percentage points from -38.06% a year earlier but up 7.00 percentage points from the prior quarter.
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Analysis
Realloys (ALOY) Return on Assets [ROA] (2015 - 2026) Analysis & Trends
For FY2025, Realloys' Return on Assets [ROA] came in at -8.57%, up 26.64 percentage points from FY2024.
- Annual Return on Assets [ROA] shows a five-year change of +40.77 percentage points (FY2020 to FY2025).
- In prior years, Realloys' Return on Assets [ROA] was -35.21% in FY2024 (+30.66 pp), -65.86% in FY2023 (-1.03 pp), -64.83% in FY2022 (-22.33 pp) and -42.50% in FY2021 (+6.84 pp).
- Quarterly Return on Assets [ROA] has run from a low of -150.80% in Q1 2023 to a high of -8.66% in Q4 2025 over five years.
- On a year-over-year basis, Return on Assets [ROA] increased in four of the last eight quarters, with an average year-over-year change of -4.23 percentage points.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was Q3 2021, with a gain of 316.73 percentage points; the weakest was Q1 2023, with a drop of 112.61 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior quarters was -81.54% (Q1 2026), -8.66% (Q4 2025) and -40.30% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn | 27.71% |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - | 6.70% |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn | 10.87% |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn | 8.95% |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn | 5.96% |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn | 6.91% |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn | 12.00% |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - | - |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn | -56.94% |
| 10 | Realloys | 557.82 Mn | 557.82 Mn | 475,000.00 | -74.54% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -74.54% |
| Mar 31, 2026 | -81.54% |
| Dec 31, 2025 | -8.66% |
| Sep 30, 2025 | -40.30% |
| Jun 30, 2025 | -38.06% |
| Mar 31, 2025 | -34.15% |
| Dec 31, 2024 | -34.98% |
| Sep 30, 2024 | -32.17% |
| Jun 30, 2024 | -32.58% |
| Mar 31, 2024 | -38.46% |
| Dec 31, 2023 | -48.07% |
| Sep 30, 2023 | -52.08% |
| Jun 30, 2023 | -86.43% |
| Mar 31, 2023 | -150.80% |
| Dec 31, 2022 | -97.54% |
| Sep 30, 2022 | -84.47% |
| Jun 30, 2022 | -58.96% |
| Mar 31, 2022 | -38.19% |
| Dec 31, 2021 | -42.78% |
| Sep 30, 2021 | -107.91% |
API Access
Realloys 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=ALOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=ALOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();