Realloys (ALOY) Other Operating Expenses (2013 - 2026)
Realloys (ALOY) reported Other Operating Expenses of $1.54 million for Q2 2026, up 439.5% from $286,000 a year earlier but down 47.3% from the prior quarter.
Powered by 
Analysis
Realloys (ALOY) Other Operating Expenses (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Realloys' Other Operating Expenses came in at $4.6 million, up 853.6% year-over-year; for FY2025, it was $277,521, down 38.7% from FY2024.
- Other Operating Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -17.3% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $452,487 in FY2024 (-32.8%), $673,394 in FY2023 (-54.8%), $1.49 million in FY2022 (+17.4%) and $1.27 million in FY2021 (+76.8%).
- Five-year quarterly Other Operating Expenses spans a low of $50,434 in Q3 2025 and a high of $2.93 million in Q1 2026.
- Year over year, Other Operating Expenses gained in two of the last six quarters, with growth averaging 76.9%.
- The high point for year-over-year Other Operating Expenses in five years was Q2 2026 (growth of 439.5%); the low point was Q2 2023 (a decline of 69.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.93 million (Q1 2026), $82,352 (Q4 2025) and $50,434 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn |
| 10 | Realloys | 561.95 Mn | 561.95 Mn | 475,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.54 Mn |
| Mar 31, 2026 | 2.93 Mn |
| Dec 31, 2025 | 82,352.00 |
| Sep 30, 2025 | 50,434.00 |
| Jun 30, 2025 | 286,000.00 |
| Dec 31, 2024 | 101,263.00 |
| Sep 30, 2024 | 95,427.00 |
| Jun 30, 2024 | 114,701.00 |
| Mar 31, 2024 | 141,096.00 |
| Dec 31, 2023 | 145,069.00 |
| Sep 30, 2023 | 138,732.00 |
| Jun 30, 2023 | 164,094.00 |
| Mar 31, 2023 | 225,499.00 |
| Dec 31, 2022 | 232,211.00 |
| Sep 30, 2022 | 422,954.00 |
| Jun 30, 2022 | 532,194.00 |
| Mar 31, 2022 | 304,071.00 |
| Dec 31, 2021 | 415,581.00 |
| Sep 30, 2021 | 290,817.00 |
| Jun 30, 2021 | 352,569.00 |
API Access
Realloys Other Operating 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=other-operating-expenses&ticker=ALOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=ALOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();