Realloys (ALOY) Non Operating Interest Expenses (2016 - 2026)
Realloys (ALOY) reported Non Operating Interest Expenses of $14,000 for Q2 2026, down 85.1% from $94,000 a year earlier but up 75.0% from the prior quarter.
Realloys (ALOY) Non Operating Interest Expenses (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Realloys' Non Operating Interest Expenses came in at $207,000, up 6.3% year-over-year; for FY2025, it came in at $117,557.
- By year, Non Operating Interest Expenses came in at $263.00 in FY2024.
- Five-year quarterly Non Operating Interest Expenses spans a low of $8,000 in Q1 2026 and a high of $94,000 in Q2 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn | - |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - | 1.43 Bn |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn | -375.44 Mn |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn | 473.00 Mn |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn | 121.00 Mn |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn | 70.00 Mn |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - | - |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn | - |
| 10 | Realloys | 557.82 Mn | 557.82 Mn | 475,000.00 | 14,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14,000.00 |
| Mar 31, 2026 | 8,000.00 |
| Jun 30, 2025 | 94,000.00 |
| Mar 31, 2025 | 91,000.00 |
| Mar 31, 2020 | 25,493.00 |
| Dec 31, 2019 | -15,704.00 |
| Sep 30, 2019 | 25,759.00 |
| Jun 30, 2019 | 38,267.00 |
| Mar 31, 2019 | 18,438.00 |
| Dec 31, 2018 | 19,567.00 |
| Sep 30, 2018 | 13,033.00 |
| Jun 30, 2018 | 7,794.00 |
| Mar 31, 2018 | 4,747.00 |
| Dec 31, 2017 | 448.00 |
| Sep 30, 2017 | 320.00 |
| Jun 30, 2017 | 518.00 |
| Mar 31, 2017 | 448.00 |
| Dec 31, 2016 | 577.00 |
| Sep 30, 2016 | 3,118.00 |
Realloys Non Operating Interest 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=non-operating-interest-expenses&ticker=ALOY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=ALOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();