Formula Systems (1985) (FORTY) Receivables (2009 - 2026)
Formula Systems (1985)'s Receivables came in at $947.33 million for Q2 2026, up 7.3% from $883.21 million a year earlier and up 12.2% from the prior quarter.
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Analysis
Formula Systems (1985) (FORTY) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Formula Systems (1985)'s Receivables was $790.01 million, down 3.4% from FY2024.
- Receivables carries a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- Going back by year, Receivables was $818.23 million in FY2024 (+11.2%), $735.7 million in FY2023 (+2.2%), $720.17 million in FY2022 (-1.1%) and $728.09 million in FY2021 (+32.7%).
- The Q2 2026 figure represents the highest quarterly Receivables in data going back to Q1 2009.
- Year-over-year, Receivables increased in seven of the last eight quarters, with growth averaging 8.4%.
- The fastest year-over-year change in Receivables over five years came in Q4 2021 (growth of 32.7%), and the weakest in Q4 2025 (a decline of 3.4%).
- Business Quant data shows FORTY's Receivables at $844.56 million (Q1 2026), $790.01 million (Q4 2025) and $784.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.40 Bn | 38.90 Bn | 1.60 Bn | 5.33 Bn |
| 2 | Cognizant Technology Solutions | 32.46 Bn | 25.62 Bn | 1.83 Bn | 4.78 Bn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | 1.52 Bn |
| 4 | Cdw | 20.15 Bn | 18.14 Bn | 1.32 Bn | 10.28 Bn |
| 5 | Td Synnex | 19.94 Bn | 14.10 Bn | 1.43 Bn | 14.95 Bn |
| 6 | Cgi | 17.74 Bn | 15.53 Bn | - | 1.11 Bn |
| 7 | Arrow Electronics | 11.21 Bn | 10.16 Bn | 1.13 Bn | 28.01 Bn |
| 8 | Avnet | 7.65 Bn | 6.83 Bn | 865.03 Mn | 6.88 Bn |
| 9 | EPAM Systems | 7.01 Bn | 2.65 Bn | 429.57 Mn | 1.27 Bn |
| 10 | Formula Systems (1985) | 1.83 Bn | -1.52 Bn | 158.43 Mn | 947.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 947.33 Mn |
| Mar 31, 2026 | 844.56 Mn |
| Dec 31, 2025 | 790.01 Mn |
| Sep 30, 2025 | 784.10 Mn |
| Jun 30, 2025 | 883.21 Mn |
| Mar 31, 2025 | 831.11 Mn |
| Dec 31, 2024 | 818.23 Mn |
| Sep 30, 2024 | 757.19 Mn |
| Jun 30, 2024 | 710.30 Mn |
| Mar 31, 2024 | 735.22 Mn |
| Sep 30, 2023 | 692.80 Mn |
| Jun 30, 2023 | 698.14 Mn |
| Mar 31, 2023 | 717.78 Mn |
| Dec 31, 2022 | 22.82 Mn |
| Sep 30, 2022 | 668.39 Mn |
| Jun 30, 2022 | 656.50 Mn |
| Mar 31, 2022 | 675.98 Mn |
| Dec 31, 2021 | 728.09 Mn |
| Sep 30, 2021 | 610.81 Mn |
| Jun 30, 2021 | 576.24 Mn |
API Access
Formula Systems (1985) Receivables 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=receivables&ticker=FORTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();