Realloys (ALOY) Long-Term Debt Issuances (2016 - 2026)
Realloys (ALOY) reported Long-Term Debt Issuances of -$72,000 for Q2 2026, compared with $1 million a year earlier.
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Analysis
Realloys (ALOY) Long-Term Debt Issuances (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Realloys' Long-Term Debt Issuances came in at $195,000, down 78.1% year-over-year; for FY2025, it was $1.99 million.
- Long-Term Debt Issuances has a five-year compound annual growth rate of 12.0% (FY2020 to FY2025).
- The Q2 2026 figure ranks as the lowest quarterly Long-Term Debt Issuances since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 469.01 Bn | 437.96 Bn | 1.64 Bn | - |
| 2 | Oracle | 370.41 Bn | 242.54 Bn | - | - |
| 3 | Sap Se | 281.05 Bn | 208.83 Bn | 8.40 Bn | - |
| 4 | Salesforce | 205.46 Bn | 161.33 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 161.21 Bn | 139.67 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 123.95 Bn | 106.08 Bn | 2.51 Bn | -1.30 Bn |
| 7 | Intuit | 97.76 Bn | 77.11 Bn | 3.44 Bn | 1.74 Bn |
| 8 | Relx | 74.61 Bn | 73.70 Bn | - | - |
| 9 | Thomson Reuters | 55.33 Bn | 52.12 Bn | - | - |
| 10 | Realloys | 433.76 Mn | 433.76 Mn | 475,000.00 | -72,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -72,000.00 |
| Mar 31, 2026 | 267,000.00 |
| Jun 30, 2025 | 1.00 Mn |
| Mar 31, 2025 | 990,000.00 |
| Dec 31, 2024 | -1.20 Mn |
| Sep 30, 2024 | 100,000.00 |
| Jun 30, 2024 | 1.10 Mn |
| Dec 31, 2020 | 1.00 Mn |
| Sep 30, 2020 | -5,000.00 |
| Jun 30, 2020 | 130,200.00 |
| Mar 31, 2020 | 232,100.00 |
| Dec 31, 2019 | 185,113.00 |
| Sep 30, 2019 | 217,928.00 |
| Jun 30, 2019 | 281,296.00 |
| Mar 31, 2019 | 150,185.00 |
| Dec 31, 2018 | 314,115.00 |
| Sep 30, 2018 | 214,000.00 |
| Jun 30, 2018 | 108,645.00 |
| Mar 31, 2018 | 47,370.00 |
| Dec 31, 2017 | 135,226.00 |
API Access
Realloys Long-Term Debt Issuances 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=long-term-debt-issuances&ticker=ALOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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=long-term-debt-issuances&ticker=ALOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();