Realloys (ALOY) Interest Expenses (2016 - 2026)
Realloys' Interest Expenses was $14,000 in Q2 2026, down 85.1% from $94,000 a year earlier but up 75.0% from the prior quarter.
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Analysis
Realloys (ALOY) Interest Expenses (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Realloys' Interest Expenses was $207,000 through Jun 30, 2026, up 6.3% year-over-year; for FY2025, it came in at $117,557.
- In earlier years, Interest Expenses was $263.00 in FY2024.
- Quarterly Interest Expenses has moved between $8,000 (Q1 2026) and $94,000 (Q2 2025) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | - |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 1.43 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | -375.44 Mn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 473.00 Mn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 121.00 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 70.00 Mn |
| 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 | 14,000.00 |
Historic Data
Download Data
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 |
API Access
Realloys 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=interest-expenses&ticker=ALOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=ALOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();