Formula Systems (1985) (FORTY) Receivables - Net (2009 - 2026)
Formula Systems (1985) (FORTY) recorded Receivables - Net of $947.33 million in 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 - Net (2009 - 2026) Analysis & Trends
At the end of FY2025, Formula Systems (1985) reported Receivables - Net of $774.47 million, down 3.6% from FY2024.
- Annual Receivables - Net has a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- Across earlier years, Receivables - Net came in at $803.24 million in FY2024 (+11.4%), $721.01 million in FY2023 (+2.6%), $702.73 million in FY2022 (+0.9%) and $696.32 million in FY2021 (+33.9%).
- The Q2 2026 figure is the highest quarterly Receivables - Net in data going back to Q1 2009.
- On a year-over-year basis, Receivables - Net rose in seven of the last eight quarters, with growth averaging 8.4%.
- Peak year-over-year performance for Receivables - Net in the last five years was growth of 33.9% in Q4 2021, against a decline of 3.6% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $844.56 million (Q1 2026), $774.47 million (Q4 2025) and $784.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 52.40 Bn | 38.90 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 32.46 Bn | 25.62 Bn | 1.83 Bn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn |
| 4 | Cdw | 20.15 Bn | 18.14 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.94 Bn | 14.10 Bn | 1.43 Bn |
| 6 | Cgi | 17.74 Bn | 15.53 Bn | - |
| 7 | Arrow Electronics | 11.21 Bn | 10.16 Bn | 1.13 Bn |
| 8 | Avnet | 7.65 Bn | 6.83 Bn | 865.03 Mn |
| 9 | EPAM Systems | 7.01 Bn | 2.65 Bn | 429.57 Mn |
| 10 | Formula Systems (1985) | 1.83 Bn | -1.52 Bn | 158.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 947.33 Mn |
| Mar 31, 2026 | 844.56 Mn |
| Dec 31, 2025 | 774.47 Mn |
| Sep 30, 2025 | 784.10 Mn |
| Jun 30, 2025 | 883.21 Mn |
| Mar 31, 2025 | 831.11 Mn |
| Dec 31, 2024 | 803.24 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 | 5.38 Mn |
| Sep 30, 2022 | 668.39 Mn |
| Jun 30, 2022 | 656.50 Mn |
| Mar 31, 2022 | 675.98 Mn |
| Dec 31, 2021 | 696.32 Mn |
| Sep 30, 2021 | 610.81 Mn |
| Jun 30, 2021 | 576.24 Mn |
API Access
Formula Systems (1985) Receivables - Net 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-net&ticker=FORTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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-net&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();