Realloys (ALOY) Operating Expenses (2013 - 2026)
Realloys (ALOY) recorded Operating Expenses of $37.61 million in Q2 2026, compared with $1.34 million a year earlier and down 57.4% from the prior quarter.
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Analysis
Realloys (ALOY) Operating Expenses (2013 - 2026) Analysis & Trends
On a TTM basis, Realloys' Operating Expenses came in at $128.72 million as of Jun 30, 2026; for FY2025, it was $5.19 million, up 17.0% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 15.0% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $4.44 million in FY2024 (-34.1%), $6.74 million in FY2023 (-9.3%), $7.42 million in FY2022 (+13.5%) and $6.54 million in FY2021 (+153.5%).
- Quarterly Operating Expenses has ranged from $812,980 in Q3 2025 to $88.36 million in Q1 2026 over the past five years.
- On a year-over-year basis, Operating Expenses rose in two of the last six quarters, with growth averaging 2.4%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 240.5% in Q4 2021, against a decline of 51.0% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $88.36 million (Q1 2026), $1.94 million (Q4 2025) and $812,980 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.27 Bn | 418.33 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 417.01 Bn | 289.56 Bn | - | 12.62 Bn |
| 3 | Sap Se | 258.97 Bn | 180.05 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 185.51 Bn | 141.38 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 134.41 Bn | 112.87 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 71.93 Bn | 51.28 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.47 Bn | 57.43 Bn | - | - |
| 9 | Strategy | 54.44 Bn | 47.43 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Realloys | 550.26 Mn | 550.26 Mn | 475,000.00 | 37.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.61 Mn |
| Mar 31, 2026 | 88.36 Mn |
| Dec 31, 2025 | 1.94 Mn |
| Sep 30, 2025 | 812,980.00 |
| Jun 30, 2025 | 1.34 Mn |
| Mar 31, 2025 | 867,000.00 |
| Dec 31, 2024 | 1.04 Mn |
| Sep 30, 2024 | 1.09 Mn |
| Jun 30, 2024 | 1.15 Mn |
| Mar 31, 2024 | 1.16 Mn |
| Dec 31, 2023 | 1.37 Mn |
| Sep 30, 2023 | 1.27 Mn |
| Jun 30, 2023 | 1.74 Mn |
| Mar 31, 2023 | 2.36 Mn |
| Dec 31, 2022 | 1.72 Mn |
| Sep 30, 2022 | 1.92 Mn |
| Jun 30, 2022 | 2.07 Mn |
| Mar 31, 2022 | 1.71 Mn |
| Dec 31, 2021 | 2.92 Mn |
| Sep 30, 2021 | 1.50 Mn |
API Access
Realloys 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=operating-expenses&ticker=ALOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=ALOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();