Realloys (ALOY) Total Non-Current Liabilities (2019 - 2026)
Realloys' Total Non-Current Liabilities was $14.15 million in Q2 2026, compared with $192,780 a year earlier and down 1.2% from the prior quarter.
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Analysis
Realloys (ALOY) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Realloys came in at $48.9 million.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 121.5% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $228,785 in FY2024 (-23.5%), $298,967 in FY2023 (-2.1%), $305,253 in FY2022 (-24.4%) and $403,988 in FY2021 (-55.9%).
- Quarterly Total Non-Current Liabilities has moved between $174,093 (Q3 2025) and $48.9 million (Q4 2025) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in 1 of the last five quarters, with an average decline of 19.7%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2024 (growth of 5.0%); the worst was Q3 2022 (a decline of 74.3%).
- Per Business Quant data, ALOY's Total Non-Current Liabilities in the three quarters before Q2 2026 was $14.32 million (Q1 2026), $48.9 million (Q4 2025) and $174,093 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.43 Bn | 369.25 Bn | 1.93 Bn | 2.06 Bn |
| 2 | Oracle | 355.53 Bn | 227.67 Bn | - | 188.55 Bn |
| 3 | Sap Se | 273.98 Bn | 227.60 Bn | - | 9.25 Bn |
| 4 | Salesforce | 174.33 Bn | 130.20 Bn | 8.70 Bn | 67.55 Bn |
| 5 | Automatic Data Processing | 117.87 Bn | 104.66 Bn | 2.53 Bn | 57.23 Bn |
| 6 | ServiceNow | 104.89 Bn | 84.15 Bn | 2.90 Bn | 18.14 Bn |
| 7 | Intuit | 93.22 Bn | 72.57 Bn | 3.44 Bn | 17.43 Bn |
| 8 | Relx | 72.75 Bn | 71.83 Bn | - | 8.57 Bn |
| 9 | Strategy | 49.49 Bn | 36.63 Bn | 89.63 Mn | 21.71 Bn |
| 10 | Realloys | 405.79 Mn | 405.79 Mn | 475,000.00 | 14.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.15 Mn |
| Mar 31, 2026 | 14.32 Mn |
| Dec 31, 2025 | 48.90 Mn |
| Sep 30, 2025 | 174,093.00 |
| Jun 30, 2025 | 192,780.00 |
| Mar 31, 2025 | 213,076.00 |
| Dec 31, 2024 | 228,785.00 |
| Sep 30, 2024 | 246,127.00 |
| Jun 30, 2024 | 262,543.00 |
| Mar 31, 2024 | 281,846.00 |
| Dec 31, 2023 | 298,967.00 |
| Sep 30, 2023 | 234,419.00 |
| Jun 30, 2023 | 257,806.00 |
| Mar 31, 2023 | 281,457.00 |
| Dec 31, 2022 | 305,253.00 |
| Sep 30, 2022 | 329,448.00 |
| Jun 30, 2022 | 354,054.00 |
| Mar 31, 2022 | 377,809.00 |
| Dec 31, 2021 | 403,988.00 |
| Sep 30, 2021 | 1.28 Mn |
API Access
Realloys Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=ALOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=ALOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();