Realloys (ALOY) Assets (2013 - 2026)
Realloys (ALOY) recorded Assets of $209.77 million in Q2 2026, compared with $9.88 million a year earlier and up 60.8% from the prior quarter.
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Analysis
Realloys (ALOY) Assets (2013 - 2026) Analysis & Trends
At the end of FY2025, Realloys reported Assets of $93.39 million, up 844.2% from FY2024.
- Annual Assets has increased for three straight years, with a five-year compound annual growth rate of 140.6% (FY2020 to FY2025).
- Across earlier years, Assets came in at $9.89 million in FY2024 (+0.6%), $9.83 million in FY2023 (+126.7%), $4.34 million in FY2022 (-61.1%) and $11.15 million in FY2021 (+863.0%).
- The Q2 2026 figure is the highest quarterly Assets in data going back to Q4 2013.
- On a year-over-year basis, Assets rose in four of the last six quarters, with growth averaging 141.8%.
- Peak year-over-year performance for Assets in the last five years was growth of 863.0% in Q4 2021, against a decline of 65.0% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $130.46 million (Q1 2026), $93.39 million (Q4 2025) and $8.82 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 11.68 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 303.26 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 87.89 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 109.62 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 31.67 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 63.19 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 36.79 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 20.17 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 52.56 Bn |
| 10 | Realloys | 579.15 Mn | 579.15 Mn | 475,000.00 | 209.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 209.77 Mn |
| Mar 31, 2026 | 130.46 Mn |
| Dec 31, 2025 | 93.39 Mn |
| Sep 30, 2025 | 8.82 Mn |
| Jun 30, 2025 | 9.88 Mn |
| Mar 31, 2025 | 10.24 Mn |
| Dec 31, 2024 | 9.89 Mn |
| Sep 30, 2024 | 9.96 Mn |
| Jun 30, 2024 | 9.88 Mn |
| Mar 31, 2024 | 9.04 Mn |
| Dec 31, 2023 | 9.83 Mn |
| Sep 30, 2023 | 9.58 Mn |
| Jun 30, 2023 | 10.19 Mn |
| Mar 31, 2023 | 3.19 Mn |
| Dec 31, 2022 | 4.34 Mn |
| Sep 30, 2022 | 5.96 Mn |
| Jun 30, 2022 | 7.65 Mn |
| Mar 31, 2022 | 9.12 Mn |
| Dec 31, 2021 | 11.15 Mn |
| Sep 30, 2021 | 1.08 Mn |
API Access
Realloys Assets 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=assets&ticker=ALOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=ALOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();