Realloys (ALOY) Net Margin (2016 - 2026)
Realloys' Net Margin was -4579.35% in Q2 2026, down 4079.35 percentage points from -500.00% a year earlier but up 11842.46 percentage points from the prior quarter.
Realloys (ALOY) Net Margin (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Realloys' Net Margin was -5469.61% through Jun 30, 2026, down 5130.56 percentage points year-over-year; for FY2025, it came in at -182.05%, down 46.82 percentage points from FY2024.
- Net Margin shows a five-year change of -171.51 percentage points (FY2020 to FY2025).
- In earlier years, Net Margin was -135.23% in FY2024 (+14.95 pp), -150.17% in FY2023 (-48.95 pp), -101.23% in FY2022 (-58.43 pp) and -42.79% in FY2021 (-32.26 pp).
- Quarterly Net Margin has moved between -16421.81% (Q1 2026) and -34.38% (Q3 2021) over five years.
- Compared with a year earlier, Net Margin was higher in 1 of the last six quarters, with an average year-over-year change of -772.09 percentage points.
- The best year-over-year quarter for Net Margin over five years was Q1 2024 (a gain of 88.23 percentage points); the worst was Q2 2026 (a drop of 4079.35 percentage points).
- Per Business Quant data, ALOY's Net Margin in the three quarters before Q2 2026 was -16421.81% (Q1 2026), -255.76% (Q4 2025) and -103.39% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 54.86% |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 24.19% |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 22.36% |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 31.08% |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 7.47% |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 17.88% |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 8.34% |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -7,044.56% |
| 10 | Realloys | 579.15 Mn | 579.15 Mn | 475,000.00 | -4,579.35% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4,579.35% |
| Mar 31, 2026 | -16,421.81% |
| Dec 31, 2025 | -255.76% |
| Sep 30, 2025 | -103.39% |
| Jun 30, 2025 | -500.00% |
| Dec 31, 2024 | -162.19% |
| Sep 30, 2024 | -120.53% |
| Jun 30, 2024 | -128.22% |
| Mar 31, 2024 | -133.00% |
| Dec 31, 2023 | -85.49% |
| Sep 30, 2023 | -92.21% |
| Jun 30, 2023 | -193.18% |
| Mar 31, 2023 | -221.23% |
| Dec 31, 2022 | -107.93% |
| Sep 30, 2022 | -107.32% |
| Jun 30, 2022 | -94.05% |
| Mar 31, 2022 | -97.64% |
| Dec 31, 2021 | -111.36% |
| Sep 30, 2021 | -34.38% |
| Jun 30, 2021 | -16.63% |
Realloys Net 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=net-margin&ticker=ALOY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=ALOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();