Realloys (ALOY) Gross Margin (2016 - 2026)
Realloys' Gross Margin was 59.08% in Q2 2026, up 21.07 percentage points from 38.01% a year earlier and up 1.43 percentage points from the prior quarter.
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Analysis
Realloys (ALOY) Gross Margin (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Realloys' Gross Margin was 57.73% through Jun 30, 2026, up 2.68 percentage points year-over-year; for FY2025, it was 47.96%, up 3.96 percentage points from FY2024.
- Gross Margin shows a five-year change of -16.36 percentage points (FY2020 to FY2025).
- In earlier years, Gross Margin was 44.01% in FY2024 (-2.35 pp), 46.36% in FY2023 (-11.68 pp), 58.04% in FY2022 (-11.67 pp) and 69.71% in FY2021 (+5.38 pp).
- Quarterly Gross Margin has moved between 26.51% (Q4 2024) and 68.09% (Q3 2021) over five years.
- Compared with a year earlier, Gross Margin was higher in two of the last six quarters, with an average year-over-year change of +4.95 percentage points.
- The best year-over-year quarter for Gross Margin over five years was Q4 2025 (a gain of 34.08 percentage points); the worst was Q2 2023 (a drop of 22.21 percentage points).
- Per Business Quant data, ALOY's Gross Margin in the three quarters before Q2 2026 was 57.65% (Q1 2026), 60.59% (Q4 2025) and 53.67% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 84.66% |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 73.17% |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 76.65% |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 70.68% |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 45.88% |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 79.10% |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 66.64% |
| 10 | Realloys | 579.15 Mn | 579.15 Mn | 475,000.00 | 59.08% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.08% |
| Mar 31, 2026 | 57.65% |
| Dec 31, 2025 | 60.59% |
| Sep 30, 2025 | 53.67% |
| Jun 30, 2025 | 38.01% |
| Dec 31, 2024 | 26.51% |
| Sep 30, 2024 | 54.71% |
| Jun 30, 2024 | 48.00% |
| Mar 31, 2024 | 44.88% |
| Dec 31, 2023 | 40.64% |
| Sep 30, 2023 | 54.98% |
| Jun 30, 2023 | 42.10% |
| Mar 31, 2023 | 47.89% |
| Dec 31, 2022 | 52.39% |
| Sep 30, 2022 | 59.56% |
| Jun 30, 2022 | 64.31% |
| Mar 31, 2022 | 54.42% |
| Dec 31, 2021 | 65.84% |
| Sep 30, 2021 | 68.09% |
| Jun 30, 2021 | 72.02% |
API Access
Realloys Gross 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=gross-margin&ticker=ALOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=ALOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();