Realloys (ALOY) Enterprise Value (2016 - 2026)
Realloys' Enterprise Value was $993.9 million in Q2 2026, compared with $21.45 million a year earlier and up 66.4% from the prior quarter.
Analysis
Realloys (ALOY) Enterprise Value (2016 - 2026) Analysis & Trends
For FY2025, Enterprise Value at Realloys came in at $30.71 million, up 295.4% from FY2024.
- Enterprise Value shows a five-year compound annual growth rate of -21.0% (FY2020 to FY2025).
- In earlier years, Enterprise Value was $7.77 million in FY2024 (-9.8%), $8.61 million in FY2023 (-29.3%), $12.18 million in FY2022 (-90.4%) and $127.29 million in FY2021 (+27.3%).
- The Q2 2026 figure marks the highest quarterly Enterprise Value since Q2 2018.
- Compared with a year earlier, Enterprise Value was higher in five of the last six quarters, with growth averaging 114.8%.
- The best year-over-year quarter for Enterprise Value over five years was Q3 2021 (growth of 303.4%); the worst was Q3 2022 (a decline of 98.6%).
- Per Business Quant data, ALOY's Enterprise Value in the three quarters before Q2 2026 was $597.45 million (Q1 2026), $30.71 million (Q4 2025) and $23.36 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 479.45 Bn | 448.40 Bn | 1.64 Bn |
| 2 | Oracle | 385.11 Bn | 257.24 Bn | - |
| 3 | Sap Se | 270.24 Bn | 198.02 Bn | 8.40 Bn |
| 4 | Salesforce | 198.44 Bn | 154.31 Bn | 8.70 Bn |
| 5 | ServiceNow | 157.97 Bn | 136.43 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 118.47 Bn | 100.60 Bn | 2.51 Bn |
| 7 | Intuit | 92.32 Bn | 71.67 Bn | 3.44 Bn |
| 8 | Relx | 71.39 Bn | 70.48 Bn | - |
| 9 | Strategy | 54.63 Bn | 47.62 Bn | 81.55 Mn |
| 10 | Realloys | 449.91 Mn | 449.91 Mn | 475,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 993.90 Mn |
| Mar 31, 2026 | 597.45 Mn |
| Dec 31, 2025 | 30.71 Mn |
| Sep 30, 2025 | 23.36 Mn |
| Jun 30, 2025 | 21.45 Mn |
| Mar 31, 2025 | 12.03 Mn |
| Dec 31, 2024 | 7.77 Mn |
| Sep 30, 2024 | 8.76 Mn |
| Jun 30, 2024 | 7.63 Mn |
| Mar 31, 2024 | 8.01 Mn |
| Dec 31, 2023 | 8.61 Mn |
| Sep 30, 2023 | 8.33 Mn |
| Jun 30, 2023 | 8.61 Mn |
| Mar 31, 2023 | 7.20 Mn |
| Dec 31, 2022 | 12.18 Mn |
| Sep 30, 2022 | 4.40 Mn |
| Jun 30, 2022 | 12.44 Mn |
| Mar 31, 2022 | 132.78 Mn |
| Dec 31, 2021 | 127.29 Mn |
| Sep 30, 2021 | 309.21 Mn |
API Access
Realloys Enterprise Value 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=enterprise-value&ticker=ALOY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=ALOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();