Formula Systems (1985) (FORTY) Payables (2009 - 2026)
Formula Systems (1985)'s Payables was $371.66 million in Q2 2026, up 26.0% from $294.85 million a year earlier and up 1.2% from the prior quarter.
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Analysis
Formula Systems (1985) (FORTY) Payables (2009 - 2026) Analysis & Trends
At the end of FY2025, Payables at Formula Systems (1985) came in at $376.21 million, up 27.0% from FY2024.
- Payables has now increased for nine consecutive years, with a five-year compound annual growth rate of 19.7% (FY2020 to FY2025).
- In earlier years, 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%).
- Quarterly Payables has moved between $151.51 million (Q3 2021) and $376.21 million (Q4 2025) over five years.
- Compared with a year earlier, Payables has increased for eight straight quarters, with growth averaging 25.5% over the last eight quarters.
- The best year-over-year quarter for Payables over five years was Q1 2022 (growth of 48.2%); the worst was Q1 2023 (a decline of 5.5%).
- Per Business Quant data, FORTY's Payables in the three quarters before Q2 2026 was $367.13 million (Q1 2026), $376.21 million (Q4 2025) and $293.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.40 Bn | 38.90 Bn | 1.60 Bn | 463.00 Mn |
| 2 | Cognizant Technology Solutions | 32.46 Bn | 25.62 Bn | 1.83 Bn | 390.00 Mn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | 1.04 Bn |
| 4 | Cdw | 20.15 Bn | 18.14 Bn | 1.32 Bn | 5.12 Bn |
| 5 | Td Synnex | 19.94 Bn | 14.10 Bn | 1.43 Bn | 22.44 Bn |
| 6 | Cgi | 17.74 Bn | 15.53 Bn | - | 788.09 Mn |
| 7 | Arrow Electronics | 11.21 Bn | 10.16 Bn | 1.13 Bn | 27.11 Bn |
| 8 | Avnet | 7.65 Bn | 6.83 Bn | 865.03 Mn | 6.05 Bn |
| 9 | EPAM Systems | 7.01 Bn | 2.65 Bn | 429.57 Mn | 41.55 Mn |
| 10 | Formula Systems (1985) | 1.83 Bn | -1.52 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 | 376.21 Mn |
| Sep 30, 2025 | 293.31 Mn |
| Jun 30, 2025 | 294.85 Mn |
| Mar 31, 2025 | 298.12 Mn |
| Dec 31, 2024 | 296.21 Mn |
| Sep 30, 2024 | 226.69 Mn |
| Jun 30, 2024 | 199.12 Mn |
| Mar 31, 2024 | 232.13 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 | 205.54 Mn |
| Dec 31, 2021 | 205.84 Mn |
| Sep 30, 2021 | 151.51 Mn |
API Access
Formula Systems (1985) 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=FORTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=payables&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();