Formula Systems (1985) (FORTY) Selling, General & Administrative (2009 - 2026)
Formula Systems (1985)'s Selling, General & Administrative was $80.88 million in Q2 2026, up 20.0% from $67.42 million a year earlier and up 6.9% from the prior quarter.
Formula Systems (1985) (FORTY) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Formula Systems (1985)'s Selling, General & Administrative was $335.2 million through Jun 30, 2026, up 28.0% year-over-year; for FY2025, it came in at $311.99 million, up 24.9% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $249.72 million in FY2024 (+0.4%), $248.66 million in FY2023 (-21.8%), $317.96 million in FY2022 (+9.6%) and $289.99 million in FY2021 (+29.3%).
- Quarterly Selling, General & Administrative has moved between $63.43 million (Q3 2024) and $102.46 million (Q4 2025) over five years.
- Compared with a year earlier, Selling, General & Administrative has increased for four straight quarters, with growth averaging 4.3% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2025 (growth of 57.2%); the worst was Q3 2024 (a decline of 22.3%).
- Per Business Quant data, FORTY's Selling, General & Administrative in the three quarters before Q2 2026 was $75.65 million (Q1 2026), $102.46 million (Q4 2025) and $76.22 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.59 Bn | 37.09 Bn | 1.60 Bn | 258.00 Mn |
| 2 | Cognizant Technology Solutions | 32.87 Bn | 26.04 Bn | 1.83 Bn | 728.00 Mn |
| 3 | Wipro | 22.10 Bn | 17.25 Bn | 745.00 Mn | -154.00 Mn |
| 4 | Cdw | 20.94 Bn | 18.92 Bn | 1.32 Bn | 891.20 Mn |
| 5 | Td Synnex | 19.62 Bn | 13.78 Bn | 1.43 Bn | 782.54 Mn |
| 6 | Cgi | 18.25 Bn | 16.05 Bn | - | - |
| 7 | Arrow Electronics | 10.72 Bn | 9.67 Bn | 1.13 Bn | 688.14 Mn |
| 8 | Avnet | 7.23 Bn | 6.41 Bn | 865.03 Mn | 547.51 Mn |
| 9 | EPAM Systems | 7.08 Bn | 2.72 Bn | 429.57 Mn | 245.25 Mn |
| 10 | Formula Systems (1985) | 1.79 Bn | -1.56 Bn | 158.43 Mn | 80.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 80.88 Mn |
| Mar 31, 2026 | 75.65 Mn |
| Dec 31, 2025 | 102.46 Mn |
| Sep 30, 2025 | 76.22 Mn |
| Jun 30, 2025 | 67.42 Mn |
| Mar 31, 2025 | 65.89 Mn |
| Dec 31, 2024 | 65.16 Mn |
| Sep 30, 2024 | 63.43 Mn |
| Jun 30, 2024 | 80.98 Mn |
| Mar 31, 2024 | 81.41 Mn |
| Dec 31, 2023 | 81.13 Mn |
| Sep 30, 2023 | 81.67 Mn |
| Jun 30, 2023 | 81.74 Mn |
| Mar 31, 2023 | 81.83 Mn |
| Dec 31, 2022 | 83.84 Mn |
| Sep 30, 2022 | 78.65 Mn |
| Jun 30, 2022 | 76.33 Mn |
| Mar 31, 2022 | 79.09 Mn |
| Dec 31, 2021 | 79.41 Mn |
| Sep 30, 2021 | 74.39 Mn |
Formula Systems (1985) Selling, General & Administrative 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=selling-general-and-administrative&ticker=FORTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();