Realloys (ALOY) Non-Current Debt (2018 - 2026)
Realloys (ALOY) reported Non-Current Debt of $24,682 for Q3 2015, compared with $1,500 a year earlier and up 689.8% from the prior quarter.
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Analysis
Realloys (ALOY) Non-Current Debt (2018 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2015, Realloys' Non-Current Debt came in at $46,178; for FY2014, it was $18,771, up 220.8% from FY2013.
- By year, Non-Current Debt came in at $5,851 in FY2013.
- Per Business Quant data, the three quarters before Q3 2015 came in at $3,125 (Q2 2015), $1,500 (Q1 2015) and $16,871 (Q4 2014).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | - |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 117.71 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 9.93 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 39.29 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.96 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 6.42 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 3.14 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 6.67 Bn |
| 10 | Realloys | 579.15 Mn | 579.15 Mn | 475,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 154,000.00 |
| Dec 31, 2025 | 154,000.00 |
| Mar 31, 2025 | 1.29 Mn |
| Dec 31, 2024 | 1.29 Mn |
| Sep 30, 2024 | 17,874.00 |
| Jun 30, 2024 | 25,139.00 |
| Mar 31, 2024 | 32,385.00 |
| Dec 31, 2023 | 11,550.00 |
| Sep 30, 2023 | 10,592.00 |
| Jun 30, 2023 | 54,016.00 |
| Mar 31, 2023 | 61,191.00 |
| Dec 31, 2022 | 39,614.00 |
| Sep 30, 2022 | 46,823.00 |
| Jun 30, 2022 | 54,016.00 |
| Mar 31, 2022 | 61,262.00 |
| Dec 31, 2021 | 68,347.00 |
| Sep 30, 2021 | 930,089.00 |
| Jun 30, 2021 | 916,775.00 |
| Mar 31, 2021 | 903,462.00 |
| Dec 31, 2020 | 890,148.00 |
API Access
Realloys Non-Current Debt 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-current-debt&ticker=ALOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-current-debt&ticker=ALOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();