Realloys (ALOY) Total Current Liabilities (2014 - 2026)
Realloys (ALOY) posted Total Current Liabilities of $5.02 million for Q2 2026, down 17.7% from $6.1 million a year earlier and down 65.5% from the prior quarter.
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Analysis
Realloys (ALOY) Total Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Realloys' Total Current Liabilities came in at $7.15 million, up 67.6% from FY2024.
- Annual Total Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 29.0% (FY2020 to FY2025).
- In prior years, Realloys' Total Current Liabilities was $4.27 million in FY2024 (+91.2%), $2.23 million in FY2023 (+20.5%), $1.85 million in FY2022 (-36.7%) and $2.93 million in FY2021 (+46.5%).
- Quarterly Total Current Liabilities has run from a low of $1.49 million in Q3 2023 to a high of $14.57 million in Q1 2026 over five years.
- On a year-over-year basis, Total Current Liabilities increased in seven of the last eight quarters, with growth averaging 82.1%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q1 2026, with growth of 172.1%; the weakest was Q2 2023, with a decline of 42.6%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $14.57 million (Q1 2026), $7.15 million (Q4 2025) and $3.86 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.54 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 47.51 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 22.94 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 26.34 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 12.15 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 50.02 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 10.16 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 8.81 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 495.11 Mn |
| 10 | Realloys | 579.15 Mn | 579.15 Mn | 475,000.00 | 5.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.02 Mn |
| Mar 31, 2026 | 14.57 Mn |
| Dec 31, 2025 | 7.15 Mn |
| Sep 30, 2025 | 3.86 Mn |
| Jun 30, 2025 | 6.10 Mn |
| Mar 31, 2025 | 5.36 Mn |
| Dec 31, 2024 | 4.27 Mn |
| Sep 30, 2024 | 3.43 Mn |
| Jun 30, 2024 | 3.84 Mn |
| Mar 31, 2024 | 2.21 Mn |
| Dec 31, 2023 | 2.23 Mn |
| Sep 30, 2023 | 1.49 Mn |
| Jun 30, 2023 | 1.57 Mn |
| Mar 31, 2023 | 1.95 Mn |
| Dec 31, 2022 | 1.85 Mn |
| Sep 30, 2022 | 2.38 Mn |
| Jun 30, 2022 | 2.73 Mn |
| Mar 31, 2022 | 2.91 Mn |
| Dec 31, 2021 | 2.93 Mn |
| Sep 30, 2021 | 1.52 Mn |
API Access
Realloys Total 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-current-liabilities&ticker=ALOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=ALOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();