Realloys (ALOY) Total Liabilities (2013 - 2026)
Realloys (ALOY) posted Total Liabilities of $19.17 million for Q2 2026, up 44.6% from $13.26 million a year earlier but down 33.7% from the prior quarter.
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Analysis
Realloys (ALOY) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Realloys' Total Liabilities came in at $57.56 million, up 280.7% from FY2024.
- Annual Total Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 81.6% (FY2020 to FY2025).
- In prior years, Realloys' Total Liabilities was $15.12 million in FY2024 (+497.3%), $2.53 million in FY2023 (+17.3%), $2.16 million in FY2022 (-35.2%) and $3.33 million in FY2021 (+14.3%).
- Quarterly Total Liabilities has run from a low of $1.73 million in Q3 2023 to a high of $57.56 million in Q4 2025 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last 11 quarters, with growth averaging 210.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2024, with growth of 497.3%; the weakest was Q2 2023, with a decline of 40.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $28.89 million (Q1 2026), $57.56 million (Q4 2025) and $4.03 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.79 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 236.06 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 35.29 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 71.24 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 19.15 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 57.16 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 18.48 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 21.68 Bn |
| 10 | Realloys | 579.15 Mn | 579.15 Mn | 475,000.00 | 19.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.17 Mn |
| Mar 31, 2026 | 28.89 Mn |
| Dec 31, 2025 | 57.56 Mn |
| Sep 30, 2025 | 4.03 Mn |
| Jun 30, 2025 | 13.26 Mn |
| Mar 31, 2025 | 11.51 Mn |
| Dec 31, 2024 | 15.12 Mn |
| Sep 30, 2024 | 3.68 Mn |
| Jun 30, 2024 | 4.11 Mn |
| Mar 31, 2024 | 2.49 Mn |
| Dec 31, 2023 | 2.53 Mn |
| Sep 30, 2023 | 1.73 Mn |
| Jun 30, 2023 | 1.83 Mn |
| Mar 31, 2023 | 2.23 Mn |
| Dec 31, 2022 | 2.16 Mn |
| Sep 30, 2022 | 2.71 Mn |
| Jun 30, 2022 | 3.09 Mn |
| Mar 31, 2022 | 3.28 Mn |
| Dec 31, 2021 | 3.33 Mn |
| Sep 30, 2021 | 2.80 Mn |
API Access
Realloys Total 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-liabilities&ticker=ALOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=ALOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();