Jacobs Solutions (J) Long-Term Investments (2009 - 2017)
Jacobs Solutions' Long-Term Investments came in at $145.07 million for fiscal Q4 2017 (quarter ended Sep 29, 2017), down 18.6% from $178.26 million a year earlier.
Jacobs Solutions (J) Long-Term Investments (2009 - 2017) Analysis & Trends
Going back to fiscal Q4 2009, Jacobs Solutions' Long-Term Investments data covers 6 quarters.
- Going back by fiscal year, Long-Term Investments was $178.26 million in FY2016 (-20.0%) and $222.94 million in FY2015.
- The fiscal Q4 2017 figure represents the lowest quarterly Long-Term Investments since fiscal Q4 2009.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 87.86 Bn | 84.32 Bn | 2.01 Bn | -49.96 Mn |
| 2 | Ferrovial | 43.95 Bn | 24.55 Bn | - | 14.71 Bn |
| 3 | Emcor | 28.40 Bn | 24.67 Bn | 1.11 Bn | - |
| 4 | Jacobs Solutions | 18.40 Bn | 13.04 Bn | 810.70 Mn | - |
| 5 | Mastec | 14.54 Bn | 13.22 Bn | 660.86 Mn | - |
| 6 | Aecom | 9.09 Bn | 4.41 Bn | -34.04 Mn | 155.49 Mn |
| 7 | Sterling Infrastructure | 8.86 Bn | 7.32 Bn | 377.28 Mn | 99.02 Mn |
| 8 | Stantec | 8.64 Bn | 7.57 Bn | 1.36 Bn | - |
| 9 | IES Holdings | 6.87 Bn | 5.74 Bn | 340.66 Mn | 63.89 Mn |
| 10 | Dycom Industries | 6.60 Bn | 4.90 Bn | 440.55 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 29, 2017 | 145.07 Mn |
| Sep 30, 2016 | 178.26 Mn |
| Oct 2, 2015 | 222.94 Mn |
| Sep 26, 2014 | 226.63 Mn |
| Sep 27, 2013 | 194.78 Mn |
| Sep 28, 2012 | 187.25 Mn |
| Sep 30, 2011 | 185.59 Mn |
| Oct 1, 2010 | 209.90 Mn |
| Oct 2, 2009 | 108.90 Mn |
Jacobs Solutions Long-Term Investments 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=long-term-investments&ticker=J&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "ticker": "J", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-investments&ticker=J&period=max&api_key=YOUR_API_KEY");
const data = await res.json();