Realloys (ALOY) Payables (2013 - 2026)
Realloys (ALOY) posted Payables of $4.96 million for Q2 2026, up 154.2% from $1.95 million a year earlier but down 19.6% from the prior quarter.
Analysis
Realloys (ALOY) Payables (2013 - 2026) Analysis & Trends
At the end of FY2025, Realloys' Payables came in at $1.56 million, down 4.5% from FY2024.
- Annual Payables shows a five-year compound annual growth rate of 20.6% (FY2020 to FY2025).
- In prior years, Realloys' Payables was $1.63 million in FY2024 (+93.5%), $842,404 in FY2023 (+15.4%), $730,099 in FY2022 (+24.7%) and $585,615 in FY2021 (-3.9%).
- Quarterly Payables has run from a low of $569,002 in Q3 2021 to a high of $6.17 million in Q1 2026 over five years.
- On a year-over-year basis, Payables increased in seven of the last eight quarters, with growth averaging 92.0%.
- The strongest year-over-year quarter for Payables in the past five years was Q1 2026, with growth of 228.1%; the weakest was Q3 2021, with a decline of 41.0%.
- According to Business Quant data, Payables for the three prior quarters was $6.17 million (Q1 2026), $1.56 million (Q4 2025) and $1.58 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 504.07 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 18.69 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 3.19 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 7.02 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.24 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 834.40 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 873.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 5.37 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 190.50 Mn |
| 10 | Realloys | 579.15 Mn | 579.15 Mn | 475,000.00 | 4.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.96 Mn |
| Mar 31, 2026 | 6.17 Mn |
| Dec 31, 2025 | 1.56 Mn |
| Sep 30, 2025 | 1.58 Mn |
| Jun 30, 2025 | 1.95 Mn |
| Mar 31, 2025 | 1.88 Mn |
| Dec 31, 2024 | 1.63 Mn |
| Sep 30, 2024 | 1.38 Mn |
| Jun 30, 2024 | 1.15 Mn |
| Mar 31, 2024 | 879,996.00 |
| Dec 31, 2023 | 842,404.00 |
| Sep 30, 2023 | 825,087.00 |
| Jun 30, 2023 | 750,097.00 |
| Mar 31, 2023 | 974,843.00 |
| Dec 31, 2022 | 730,099.00 |
| Sep 30, 2022 | 738,710.00 |
| Jun 30, 2022 | 807,465.00 |
| Mar 31, 2022 | 700,987.00 |
| Dec 31, 2021 | 585,615.00 |
| Sep 30, 2021 | 569,002.00 |
API Access
Realloys Payables 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=payables&ticker=ALOY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=ALOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();