Realloys (ALOY) Times Interest Earned (2016 - 2026)
Realloys' Times Interest Earned was -2628.86 in Q2 2026, compared with -9.60 a year earlier.
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Analysis
Realloys (ALOY) Times Interest Earned (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Realloys' Times Interest Earned was -610.91 through Jun 30, 2026; for FY2025, it came in at -34.27.
- In earlier years, Times Interest Earned was -12581.99 in FY2024.
- Quarterly Times Interest Earned 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) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 406.71 Bn | 371.66 Bn | 1.93 Bn | - |
| 2 | Oracle | 356.71 Bn | 229.27 Bn | 18.57 Bn | 4.71 |
| 3 | Sap Se | 287.26 Bn | 215.24 Bn | 8.64 Bn | 10.21 |
| 4 | Salesforce | 175.69 Bn | 131.56 Bn | 8.70 Bn | 4.93 |
| 5 | Automatic Data Processing | 120.83 Bn | 107.63 Bn | 2.53 Bn | -11.15 |
| 6 | ServiceNow | 103.38 Bn | 82.65 Bn | 2.90 Bn | 4.75 |
| 7 | Intuit | 91.37 Bn | 70.72 Bn | 3.44 Bn | 6.79 |
| 8 | Relx | 72.62 Bn | 72.62 Bn | - | - |
| 9 | Strategy | 48.71 Bn | 35.85 Bn | 89.63 Mn | 1,359.54 |
| 10 | Realloys | 427.14 Mn | 262.10 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 |
| Dec 31, 2025 | -7.16 |
| Sep 30, 2025 | -1.47 |
| Jun 30, 2025 | -8.61 |
| Mar 31, 2025 | -5.01 |
| Dec 31, 2024 | -5.47 |
| Sep 30, 2024 | -7.02 |
| Jun 30, 2024 | -8.50 |
| Mar 31, 2024 | -9.29 |
| Dec 31, 2023 | -9.46 |
| Sep 30, 2023 | -4.14 |
| Jun 30, 2023 | -9.74 |
| Mar 31, 2023 | -11.80 |
| Dec 31, 2022 | -93.97 |
| Sep 30, 2022 | -42.76 |
| Jun 30, 2022 | -40.37 |
| Mar 31, 2022 | -34.92 |
| Dec 31, 2021 | -58.43 |
| Sep 30, 2021 | -16.48 |
API Access
Realloys Times Interest Earned 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=times-interest-earned&ticker=ALOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=ALOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();