Formula Systems (1985) (FORTY) Accumulated Expenses (2010 - 2017)
Formula Systems (1985)'s (FORTY) quarterly Accumulated Expenses came in at $110.8 million in Q4 2017, up 22.16% on a YoY basis from $90.7 million in Q4 2016, and up 11.85% quarter-over-quarter from $99.1 million in Q3 2017.
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Analysis
Formula Systems (1985) (FORTY) Accumulated Expenses (2010 - 2017) Analysis & Trends
Formula Systems (1985) (FORTY) has reported Accumulated Expenses for 8 consecutive years, with $110.8 million the latest figure, recorded in Q4 2017.
- For the quarter ending Q4 2017, Accumulated Expenses rose 22.16% year-over-year to $110.8 million; the trailing twelve-month figure through Dec 2017 stood at $110.8 million (up 22.16% YoY), and the FY2017 full-year result was $110.8 million, up 22.16% from the prior year.
- Accumulated Expenses rose to $110.8 million in Q4 2017 per FORTY's latest filing, from $99.1 million in the prior quarter.
- Across five years, Accumulated Expenses topped out at $110.8 million in Q4 2017 and bottomed at $51.4 million in Q4 2015.
- Historically, Accumulated Expenses has averaged $82.9 million across 5 years, with a median of $93.3 million in 2016.
- The sharpest annual moves came in 2015 and 2016: Accumulated Expenses dropped 18.65% in 2015, then soared 76.51% in 2016.
- Over 5 years, Accumulated Expenses stood at $54.4 million in 2013, then gained by 16.2% to $63.2 million in 2014, then declined by 18.65% to $51.4 million in 2015, then jumped by 76.51% to $90.7 million in 2016, then advanced by 22.16% to $110.8 million in 2017.
- According to Business Quant data, Accumulated Expenses over the past three periods registered $110.8 million, $99.1 million, and $97.6 million for Q4 2017, Q3 2017, and Q2 2017 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 44.17 Bn | 44.22 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 26.84 Bn | 25.79 Bn | 1.83 Bn |
| 3 | Cgi | 13.60 Bn | 13.02 Bn | - |
| 4 | EPAM Systems | 5.82 Bn | 5.04 Bn | 429.57 Mn |
| 5 | Science Applications International | 5.60 Bn | 5.47 Bn | 239.00 Mn |
| 6 | ExlService Holdings | 5.35 Bn | 5.07 Bn | 225.96 Mn |
| 7 | Kyndryl Holdings | 2.65 Bn | 639.03 Mn | 776.00 Mn |
| 8 | Innodata | 2.10 Bn | 1.85 Bn | 42.46 Mn |
| 9 | Formula Systems (1985) | 1.83 Bn | 1.41 Bn | 158.43 Mn |
| 10 | DXC Technology | 1.74 Bn | 9.39 Mn | 611.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 110.81 Mn |
| Sep 30, 2017 | 99.07 Mn |
| Jun 30, 2017 | 97.59 Mn |
| Mar 31, 2017 | 95.89 Mn |
| Dec 31, 2016 | 90.71 Mn |
| Dec 31, 2015 | 51.39 Mn |
| Dec 31, 2014 | 63.17 Mn |
| Dec 31, 2013 | 54.37 Mn |
| Dec 31, 2012 | 62.09 Mn |
| Dec 31, 2011 | 41.01 Mn |
| Dec 31, 2010 | 40.70 Mn |
API Access
Formula Systems (1985) 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=accumulated-expenses&ticker=FORTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();