Formula Systems (1985) (FORTY) Accounts Payables (2009 - 2026)
Formula Systems (1985) (FORTY) posted Accounts Payables of $371.66 million for Q2 2026, up 29.2% from $287.71 million a year earlier and up 1.2% from the prior quarter.
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Analysis
Formula Systems (1985) (FORTY) Accounts Payables (2009 - 2026) Analysis & Trends
At the end of FY2025, Formula Systems (1985)'s Accounts Payables came in at $368.32 million, up 24.3% from FY2024.
- Annual Accounts Payables has increased for 14 consecutive years, with a five-year compound annual growth rate of 19.2% (FY2020 to FY2025).
- In prior years, Formula Systems (1985)'s Accounts Payables was $296.21 million in FY2024 (+14.5%), $258.65 million in FY2023 (+16.3%), $222.48 million in FY2022 (+8.1%) and $205.84 million in FY2021 (+34.3%).
- The Q2 2026 figure stands as the highest quarterly Accounts Payables in data going back to Q1 2009.
- On a year-over-year basis, Accounts Payables has increased in each of the last eight quarters, with growth averaging 25.3% over the last eight quarters.
- The strongest year-over-year quarter for Accounts Payables in the past five years was Q2 2025, with growth of 44.5%; the weakest was Q2 2024, with a decline of 1.9%.
- According to Business Quant data, Accounts Payables for the three prior quarters was $367.13 million (Q1 2026), $368.32 million (Q4 2025) and $285.48 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 54.39 Bn | 40.89 Bn | 1.60 Bn | 463.00 Mn |
| 2 | Cognizant Technology Solutions | 34.33 Bn | 27.49 Bn | 1.83 Bn | 357.00 Mn |
| 3 | Wipro | 22.89 Bn | 18.03 Bn | 745.00 Mn | 1.04 Bn |
| 4 | Cdw | 21.00 Bn | 18.98 Bn | 1.32 Bn | 5.12 Bn |
| 5 | Td Synnex | 19.58 Bn | 13.74 Bn | 1.43 Bn | 22.44 Bn |
| 6 | Cgi | 18.28 Bn | 16.07 Bn | - | 788.09 Mn |
| 7 | Arrow Electronics | 10.72 Bn | 9.67 Bn | 1.13 Bn | 27.11 Bn |
| 8 | Avnet | 7.27 Bn | 6.45 Bn | 865.03 Mn | 6.05 Bn |
| 9 | EPAM Systems | 7.20 Bn | 2.84 Bn | 429.57 Mn | 41.55 Mn |
| 10 | Formula Systems (1985) | 1.85 Bn | -1.05 Bn | 158.43 Mn | 371.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 371.66 Mn |
| Mar 31, 2026 | 367.13 Mn |
| Dec 31, 2025 | 368.32 Mn |
| Sep 30, 2025 | 285.48 Mn |
| Jun 30, 2025 | 287.71 Mn |
| Mar 31, 2025 | 283.89 Mn |
| Dec 31, 2024 | 296.21 Mn |
| Sep 30, 2024 | 226.69 Mn |
| Jun 30, 2024 | 199.12 Mn |
| Mar 31, 2024 | 222.55 Mn |
| Dec 31, 2023 | 258.65 Mn |
| Sep 30, 2023 | 211.50 Mn |
| Jun 30, 2023 | 202.93 Mn |
| Mar 31, 2023 | 194.20 Mn |
| Dec 31, 2022 | 222.48 Mn |
| Sep 30, 2022 | 187.31 Mn |
| Jun 30, 2022 | 183.92 Mn |
| Mar 31, 2022 | 193.21 Mn |
| Dec 31, 2021 | 205.84 Mn |
| Sep 30, 2021 | 151.51 Mn |
API Access
Formula Systems (1985) Accounts 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=accounts-payables&ticker=FORTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "ticker": "FORTY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accounts-payables&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();