Realloys (ALOY) Interest Coverage Ratio (2016 - 2026)
Realloys' Interest Coverage Ratio was -2628.86 in Q2 2026, compared with -9.60 a year earlier.
Powered by 
Analysis
Realloys (ALOY) Interest Coverage Ratio (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Realloys' Interest Coverage Ratio was -610.91 through Jun 30, 2026; for FY2025, it was -34.27.
- In earlier years, Interest Coverage Ratio was -12581.99 in FY2024.
- Quarterly Interest Coverage Ratio has moved between -10957.13 (Q1 2026) and -9.53 (Q1 2025) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn | - |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - | 4.71 |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn | 8.18 |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn | 4.93 |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn | -15.08 |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn | 6.79 |
| 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 | -2,628.86 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2,628.86 |
| Mar 31, 2026 | -10,957.13 |
| Jun 30, 2025 | -9.60 |
| Mar 31, 2025 | -9.53 |
| Mar 31, 2020 | -9.05 |
| Dec 31, 2019 | -15.05 |
| Sep 30, 2019 | -9.61 |
| Jun 30, 2019 | -8.65 |
| Mar 31, 2019 | -10.31 |
| Dec 31, 2018 | -17.12 |
| Sep 30, 2018 | -25.93 |
| Jun 30, 2018 | -30.30 |
| Mar 31, 2018 | -41.67 |
| Dec 31, 2017 | -1,120.17 |
| Sep 30, 2017 | -671.47 |
| Jun 30, 2017 | -679.45 |
| Mar 31, 2017 | -427.12 |
| Dec 31, 2016 | -603.84 |
| Sep 30, 2016 | -50.30 |
API Access
Realloys Interest Coverage Ratio 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-coverage-ratio&ticker=ALOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-coverage-ratio", "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-coverage-ratio&ticker=ALOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();