Formula Systems (1985) (FORTY) Other Accumulated Expenses (2017 - 2026)
Formula Systems (1985) (FORTY) recorded Other Accumulated Expenses of $79.62 million in Q2 2026, up 74.7% from $45.56 million a year earlier but down 1.6% from the prior quarter.
Powered by 
Analysis
Formula Systems (1985) (FORTY) Other Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, Formula Systems (1985) reported Other Accumulated Expenses of $50.43 million, up 5.7% from FY2024.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of -11.0% (FY2020 to FY2025).
- Across earlier years, Other Accumulated Expenses came in at $47.72 million in FY2024 (+91.8%), $24.88 million in FY2023 (-83.9%), $154.41 million in FY2022 (-11.5%) and $174.48 million in FY2021 (+93.1%).
- Quarterly Other Accumulated Expenses has ranged from $24.88 million in Q4 2023 to $221.96 million in Q1 2022 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses has increased for four consecutive quarters, with growth averaging 12.6% over the last eight quarters.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 156.7% in Q1 2022, against a decline of 83.9% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $80.91 million (Q1 2026), $50.43 million (Q4 2025) and $48.53 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 49.92 Bn | 42.11 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 31.88 Bn | 25.05 Bn | 1.83 Bn |
| 3 | Wipro | 22.24 Bn | 17.40 Bn | 745.00 Mn |
| 4 | Cdw | 20.69 Bn | 18.68 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.74 Bn | 13.90 Bn | 1.43 Bn |
| 6 | Cgi | 18.25 Bn | 16.05 Bn | - |
| 7 | Arrow Electronics | 10.68 Bn | 9.70 Bn | 1.13 Bn |
| 8 | Avnet | 7.23 Bn | 6.41 Bn | 865.03 Mn |
| 9 | EPAM Systems | 7.03 Bn | 2.67 Bn | 429.57 Mn |
| 10 | Formula Systems (1985) | 1.79 Bn | -1.10 Bn | 158.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79.62 Mn |
| Mar 31, 2026 | 80.91 Mn |
| Dec 31, 2025 | 50.43 Mn |
| Sep 30, 2025 | 48.53 Mn |
| Jun 30, 2025 | 45.56 Mn |
| Mar 31, 2025 | 48.58 Mn |
| Dec 31, 2024 | 47.72 Mn |
| Sep 30, 2024 | 27.32 Mn |
| Jun 30, 2024 | 141.66 Mn |
| Mar 31, 2024 | 146.41 Mn |
| Dec 31, 2023 | 24.88 Mn |
| Sep 30, 2023 | 140.85 Mn |
| Jun 30, 2023 | 144.61 Mn |
| Mar 31, 2023 | 151.65 Mn |
| Dec 31, 2022 | 154.41 Mn |
| Sep 30, 2022 | 155.49 Mn |
| Jun 30, 2022 | 157.36 Mn |
| Mar 31, 2022 | 221.96 Mn |
| Dec 31, 2021 | 174.48 Mn |
| Sep 30, 2021 | 167.84 Mn |
API Access
Formula Systems (1985) Other Accumulated Expenses 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=other-accumulated-expenses&ticker=FORTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();