Realloys (ALOY) EBITDA Margin (2016 - 2026)
Realloys (ALOY) posted EBITDA Margin of -12403.68% for Q1 2026, down 12155.80 percentage points from the prior quarter.
Powered by 
Analysis
Realloys (ALOY) EBITDA Margin (2016 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, EBITDA Margin at Realloys was -3660.47%, down 3488.14 percentage points year-over-year; for FY2025, it was -165.47%, down 37.18 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of -153.60 percentage points (FY2020 to FY2025).
- In prior years, Realloys' EBITDA Margin was -128.29% in FY2024 (+40.88 pp), -169.16% in FY2023 (-77.95 pp), -91.21% in FY2022 (-54.27 pp) and -36.94% in FY2021 (-25.07 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 -11.90 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 145.58 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was -247.89% (Q4 2025), -62.79% (Q3 2025) and -204.20% (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.27 Bn | 418.33 Bn | 1.64 Bn | 47.55% |
| 2 | Oracle | 417.01 Bn | 289.56 Bn | - | 52.36% |
| 3 | Sap Se | 258.97 Bn | 180.05 Bn | 8.40 Bn | 29.96% |
| 4 | Salesforce | 185.51 Bn | 141.38 Bn | 8.70 Bn | 34.25% |
| 5 | ServiceNow | 134.41 Bn | 112.87 Bn | 2.82 Bn | 18.59% |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -25.13% |
| 7 | Intuit | 71.93 Bn | 51.28 Bn | 3.44 Bn | 15.92% |
| 8 | Relx | 60.47 Bn | 57.43 Bn | - | - |
| 9 | Strategy | 54.44 Bn | 47.43 Bn | 81.55 Mn | -6,798.02% |
| 10 | Realloys | 550.26 Mn | 550.26 Mn | 475,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -12,403.68% |
| Dec 31, 2025 | -247.89% |
| Sep 30, 2025 | -62.79% |
| Jun 30, 2025 | -204.20% |
| 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 | -107.82% |
| Sep 30, 2022 | -97.84% |
| Jun 30, 2022 | -83.11% |
| Mar 31, 2022 | -79.83% |
| Dec 31, 2021 | -106.76% |
| Sep 30, 2021 | -33.58% |
| Jun 30, 2021 | -7.66% |
| Mar 31, 2021 | 10.03% |
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();