Realloys (ALOY) EBITDA Margin (2016 - 2026)
Realloys (ALOY) posted EBITDA Margin of -12403.68% for Q1 2026, down 12168.22 percentage points from the prior quarter.
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Realloys (ALOY) EBITDA Margin (2016 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, EBITDA Margin at Realloys was -3651.03%, down 3479.11 percentage points year-over-year; for FY2025, it was -155.56%, down 27.27 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of -155.52 percentage points (FY2020 to FY2025).
- In prior years, Realloys' EBITDA Margin was -128.29% in FY2024 (+40.88 pp), -169.16% in FY2023 (-78.89 pp), -90.27% in FY2022 (-57.38 pp) and -32.89% in FY2021 (-32.86 pp).
- The Q1 2026 figure stands as the lowest quarterly EBITDA Margin in data going back to Q3 2016.
- On a year-over-year basis, EBITDA Margin increased in three of the last six quarters, with an average year-over-year change of -5.04 percentage points.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q1 2024, with a gain of 93.66 percentage points; the weakest was Q1 2023, with a drop of 146.62 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was -235.47% (Q4 2025), -51.60% (Q3 2025) and -186.67% (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 406.71 Bn | 371.66 Bn | 1.93 Bn | 47.20% |
| 2 | Oracle | 356.71 Bn | 229.27 Bn | 18.57 Bn | 52.36% |
| 3 | Sap Se | 287.26 Bn | 215.24 Bn | 8.64 Bn | 31.77% |
| 4 | Salesforce | 175.69 Bn | 131.56 Bn | 8.70 Bn | 34.25% |
| 5 | Automatic Data Processing | 120.83 Bn | 107.63 Bn | 2.53 Bn | -21.73% |
| 6 | ServiceNow | 103.38 Bn | 82.65 Bn | 2.90 Bn | 23.23% |
| 7 | Intuit | 91.37 Bn | 70.72 Bn | 3.44 Bn | 15.92% |
| 8 | Relx | 72.62 Bn | 72.62 Bn | - | - |
| 9 | Strategy | 48.71 Bn | 35.85 Bn | 89.63 Mn | 16,684.34% |
| 10 | Realloys | 427.14 Mn | 262.10 Mn | 475,000.00 | -4,589.43% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4,589.43% |
| Mar 31, 2026 | -12,403.68% |
| Dec 31, 2025 | -235.47% |
| Sep 30, 2025 | -51.60% |
| Jun 30, 2025 | -186.67% |
| Dec 31, 2024 | -151.11% |
| Sep 30, 2024 | -112.93% |
| Jun 30, 2024 | -120.03% |
| Mar 31, 2024 | -131.75% |
| Dec 31, 2023 | -133.04% |
| Sep 30, 2023 | -117.80% |
| Jun 30, 2023 | -192.65% |
| Mar 31, 2023 | -225.41% |
| Dec 31, 2022 | -107.20% |
| Sep 30, 2022 | -96.74% |
| Jun 30, 2022 | -82.15% |
| Mar 31, 2022 | -78.79% |
| Dec 31, 2021 | -105.97% |
| Sep 30, 2021 | -32.88% |
| Jun 30, 2021 | -1.34% |
API Access
Realloys EBITDA Margin 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=ebitda-margin&ticker=ALOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=ALOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();