Realloys (ALOY) Accumulated Expenses (2016 - 2026)
Realloys (ALOY) posted Accumulated Expenses of $4.1 million for Q2 2026, compared with $36,445 a year earlier and up 95.2% from the prior quarter.
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Analysis
Realloys (ALOY) Accumulated Expenses (2016 - 2026) Analysis & Trends
At the end of FY2025, Realloys' Accumulated Expenses came in at $3.4 million.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 218.2% (FY2020 to FY2025).
- In prior years, Realloys' Accumulated Expenses was $1,613 in FY2024 (unchanged), $1,613 in FY2023 (unchanged), $1,613 in FY2022 (-75.4%) and $6,544 in FY2021 (-37.2%).
- The Q2 2026 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2018.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q2 2022, with growth of 5.4%; the weakest was Q1 2025, with a decline of 94.2%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $2.1 million (Q1 2026), $3.4 million (Q4 2025) and $77,325 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 406.71 Bn | 371.66 Bn | 1.93 Bn |
| 2 | Oracle | 356.71 Bn | 229.27 Bn | 18.57 Bn |
| 3 | Sap Se | 287.26 Bn | 215.24 Bn | 8.64 Bn |
| 4 | Salesforce | 175.69 Bn | 131.56 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 120.83 Bn | 107.63 Bn | 2.53 Bn |
| 6 | ServiceNow | 103.38 Bn | 82.65 Bn | 2.90 Bn |
| 7 | Intuit | 91.37 Bn | 70.72 Bn | 3.44 Bn |
| 8 | Relx | 72.62 Bn | 72.62 Bn | - |
| 9 | Strategy | 48.71 Bn | 35.85 Bn | 89.63 Mn |
| 10 | Realloys | 427.14 Mn | 262.10 Mn | 475,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.10 Mn |
| Mar 31, 2026 | 2.10 Mn |
| Dec 31, 2025 | 3.40 Mn |
| Sep 30, 2025 | 77,325.00 |
| Jun 30, 2025 | 36,445.00 |
| Mar 31, 2025 | 5,843.00 |
| Dec 31, 2024 | 1,613.00 |
| Sep 30, 2024 | 1,613.00 |
| Jun 30, 2024 | 1,613.00 |
| Mar 31, 2024 | 101,593.00 |
| Dec 31, 2023 | 1,613.00 |
| Sep 30, 2023 | 1,613.00 |
| Jun 30, 2023 | 1,613.00 |
| Mar 31, 2023 | 1,613.00 |
| Dec 31, 2022 | 1,613.00 |
| Sep 30, 2022 | 6,544.00 |
| Jun 30, 2022 | 6,544.00 |
| Mar 31, 2022 | 6,544.00 |
| Dec 31, 2021 | 6,544.00 |
| Sep 30, 2021 | 6,296.00 |
API Access
Realloys Accumulated Expenses 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=accumulated-expenses&ticker=ALOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=ALOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();