Jack In The Box (JACK) Cash & Equivalents (2009 - 2026)
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 - 2026) 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 | 199.07 Bn | 195.11 Bn | 6.47 Bn | 1.19 Bn |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | 3.68 Bn |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - | 634.21 Mn |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | 2.11 Bn |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | 974.00 Mn |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn | 220.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 974.00 Mn |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn | 535.00 Mn |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | 141.41 Mn |
| 10 | Jack In The Box | 282.22 Mn | 21.07 Mn | 161.39 Mn | 46.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 46.32 Mn |
| Apr 12, 2026 | 43.04 Mn |
| Sep 28, 2025 | 45.77 Mn |
| Jul 6, 2025 | 38.01 Mn |
| Apr 13, 2025 | 15.78 Mn |
| Sep 29, 2024 | 24.75 Mn |
| Jul 7, 2024 | 21.65 Mn |
| Apr 14, 2024 | 20.20 Mn |
| Oct 1, 2023 | 157.65 Mn |
| Jul 9, 2023 | 154.07 Mn |
| Apr 16, 2023 | 94.91 Mn |
| Oct 2, 2022 | 108.89 Mn |
| Jul 10, 2022 | 65.86 Mn |
| Apr 17, 2022 | 55.72 Mn |
| Oct 3, 2021 | 55.35 Mn |
| Jul 4, 2021 | 84.22 Mn |
| Apr 11, 2021 | 90.64 Mn |
| Sep 27, 2020 | 199.66 Mn |
| Jul 5, 2020 | 159.54 Mn |
| Apr 12, 2020 | 132.16 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();