Realloys (ALOY) Non-Current Assets (2015 - 2026)
Realloys (ALOY) recorded Non-Current Assets of $55.68 million in Q2 2026, up 541.3% from $8.68 million a year earlier but down 2.3% from the prior quarter.
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Analysis
Realloys (ALOY) Non-Current Assets (2015 - 2026) Analysis & Trends
At the end of FY2025, Realloys reported Non-Current Assets of $54.85 million, up 529.1% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of 281.3% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $8.72 million in FY2024 (-1.2%), $8.82 million in FY2023, $428,726 in FY2022 (-4.3%) and $448,143 in FY2021 (+558.7%).
- Quarterly Non-Current Assets has ranged from $400,321 in Q1 2023 to $56.96 million in Q1 2026 over the past five years.
- On a year-over-year basis, Non-Current Assets has increased for three consecutive quarters, with growth averaging 202.6% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 558.7% in Q4 2021, against a decline of 23.1% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $56.96 million (Q1 2026), $54.85 million (Q4 2025) and $8.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.27 Bn | 418.33 Bn | 1.64 Bn | 579.05 Mn |
| 2 | Oracle | 417.01 Bn | 289.56 Bn | - | 247.63 Bn |
| 3 | Sap Se | 258.97 Bn | 180.05 Bn | 8.40 Bn | 61.56 Bn |
| 4 | Salesforce | 185.51 Bn | 141.38 Bn | 8.70 Bn | 87.54 Bn |
| 5 | ServiceNow | 134.41 Bn | 112.87 Bn | 2.82 Bn | 23.15 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 10.63 Bn |
| 7 | Intuit | 71.93 Bn | 51.28 Bn | 3.44 Bn | 21.48 Bn |
| 8 | Relx | 60.47 Bn | 57.43 Bn | - | - |
| 9 | Strategy | 54.44 Bn | 47.43 Bn | 81.55 Mn | 49.89 Bn |
| 10 | Realloys | 550.26 Mn | 550.26 Mn | 475,000.00 | 55.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.68 Mn |
| Mar 31, 2026 | 56.96 Mn |
| Dec 31, 2025 | 54.85 Mn |
| Sep 30, 2025 | 8.66 Mn |
| Jun 30, 2025 | 8.68 Mn |
| Mar 31, 2025 | 8.70 Mn |
| Dec 31, 2024 | 8.72 Mn |
| Sep 30, 2024 | 8.74 Mn |
| Jun 30, 2024 | 8.75 Mn |
| Mar 31, 2024 | 8.80 Mn |
| Dec 31, 2023 | 8.82 Mn |
| Sep 30, 2023 | 8.77 Mn |
| Jun 30, 2023 | 8.80 Mn |
| Mar 31, 2023 | 400,321.00 |
| Dec 31, 2022 | 428,726.00 |
| Sep 30, 2022 | 450,678.00 |
| Jun 30, 2022 | 437,600.00 |
| Mar 31, 2022 | 427,639.00 |
| Dec 31, 2021 | 448,143.00 |
| Sep 30, 2021 | 465,897.00 |
API Access
Realloys Non-Current 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=non-current-assets&ticker=ALOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=ALOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();