Jack In The Box (JACK) Cash & Equivalents (2009 - 2016)
Jack In The Box (JACK) recorded Cash & Equivalents of $6.65 million in fiscal Q3 2016 (quarter ended Jul 3, 2016), down 62.5% from $17.71 million a year earlier and down 24.5% from the prior quarter.
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Analysis
Jack In The Box (JACK) Cash & Equivalents (2009 - 2016) Analysis & Trends
At the end of FY2015 (ended Sep 27, 2015), Jack In The Box reported Cash & Equivalents of $17.74 million, up 67.7% from FY2014.
- Annual Cash & Equivalents has increased for three straight fiscal years, with a five-year compound annual growth rate of 9.2% (FY2010 to FY2015).
- Across earlier fiscal years, Cash & Equivalents came in at $10.58 million in FY2014 (+9.7%), $9.64 million in FY2013 (+13.9%), $8.47 million in FY2012 (-25.9%) and $11.42 million in FY2011 (unchanged).
- The fiscal Q3 2016 figure is the lowest quarterly Cash & Equivalents in data going back to fiscal Q3 2009.
- On a year-over-year basis, Cash & Equivalents has declined for three consecutive quarters, with growth averaging 6.6% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 79.0% in fiscal Q3 2015, against a decline of 62.5% in fiscal Q3 2016 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 3.45 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 228.20 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 674.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 1.06 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 219.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.06 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 202.43 Mn |
| 10 | Jack In The Box | 255.54 Mn | 255.54 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2016 | 6.65 Mn |
| Apr 10, 2016 | 8.80 Mn |
| Jan 17, 2016 | 7.10 Mn |
| Sep 27, 2015 | 17.74 Mn |
| Jul 5, 2015 | 17.71 Mn |
| Apr 12, 2015 | 10.39 Mn |
| Jan 18, 2015 | 8.81 Mn |
| Sep 28, 2014 | 10.58 Mn |
| Jul 6, 2014 | 9.89 Mn |
| Apr 13, 2014 | 9.89 Mn |
| Jan 19, 2014 | 9.93 Mn |
| Sep 29, 2013 | 9.64 Mn |
| Jul 7, 2013 | 9.78 Mn |
| Apr 14, 2013 | 10.20 Mn |
| Jan 20, 2013 | 9.54 Mn |
| Sep 30, 2012 | 8.47 Mn |
| Jul 8, 2012 | 10.82 Mn |
| Apr 15, 2012 | 11.31 Mn |
| Jan 22, 2012 | 13.64 Mn |
| Oct 2, 2011 | 11.42 Mn |
API Access
Jack In The Box Cash & Equivalents 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=cash-and-equivalents&ticker=JACK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "JACK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=JACK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();