Realloys (ALOY) Selling, General & Administrative (2015 - 2026)
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Analysis
Realloys (ALOY) Selling, General & Administrative (2015 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 406.71 Bn | 371.66 Bn | 1.93 Bn | 228.85 Mn |
| 2 | Oracle | 356.71 Bn | 229.27 Bn | 18.57 Bn | 376.00 Mn |
| 3 | Sap Se | 287.26 Bn | 215.24 Bn | 8.64 Bn | 473.98 Mn |
| 4 | Salesforce | 175.69 Bn | 131.56 Bn | 8.70 Bn | 725.00 Mn |
| 5 | Automatic Data Processing | 120.83 Bn | 107.63 Bn | 2.53 Bn | 1.06 Bn |
| 6 | ServiceNow | 103.38 Bn | 82.65 Bn | 2.90 Bn | 283.00 Mn |
| 7 | Intuit | 91.37 Bn | 70.72 Bn | 3.44 Bn | 391.00 Mn |
| 8 | Relx | 72.62 Bn | 72.62 Bn | - | - |
| 9 | Strategy | 48.71 Bn | 35.85 Bn | 89.63 Mn | 35.91 Mn |
| 10 | Realloys | 427.14 Mn | 262.10 Mn | 475,000.00 | 36.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.03 Mn |
| Mar 31, 2026 | 85.40 Mn |
| Dec 31, 2025 | 1.76 Mn |
| Sep 30, 2025 | 655,904.00 |
| Jun 30, 2025 | 1.06 Mn |
| Mar 31, 2025 | 867,000.00 |
| Dec 31, 2024 | 832,816.00 |
| Sep 30, 2024 | 891,282.00 |
| Jun 30, 2024 | 938,269.00 |
| Mar 31, 2024 | 905,929.00 |
| Dec 31, 2023 | 1.06 Mn |
| Sep 30, 2023 | 957,372.00 |
| Jun 30, 2023 | 1.35 Mn |
| Mar 31, 2023 | 1.78 Mn |
| Dec 31, 2022 | 1.11 Mn |
| Sep 30, 2022 | 1.20 Mn |
| Jun 30, 2022 | 1.19 Mn |
| Mar 31, 2022 | 1.22 Mn |
| Dec 31, 2021 | 2.30 Mn |
| Sep 30, 2021 | 1.10 Mn |
API Access
Realloys Selling, General & Administrative 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=selling-general-and-administrative&ticker=ALOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ALOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();