Jack In The Box (JACK) Exchange Rate Effect (2013 - 2017)
Jack In The Box's Exchange Rate Effect came in at $6,000 for FY2018 (year ended Sep 30, 2018), compared with -$22,000 in FY2017.
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Analysis
Jack In The Box (JACK) Exchange Rate Effect (2013 - 2017) Analysis & Trends
Going back to FY2013, Jack In The Box's Exchange Rate Effect data covers 6 fiscal years.
- Exchange Rate Effect carries a five-year compound annual growth rate of 8.4% (FY2013 to FY2018).
- The FY2018 figure represents the highest annual Exchange Rate Effect since FY2014.
- Per Business Quant, earlier fiscal years put Exchange Rate Effect at -$22,000 in FY2017, -$43,000 in FY2016, -$29,000 in FY2015 and $7,000 in FY2014 (+75.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.16 Bn | 168.98 Bn | 6.42 Bn | 99.00 Mn |
| 2 | Starbucks | 112.39 Bn | 100.02 Bn | - | -6.20 Mn |
| 3 | Yum Brands | 41.31 Bn | 38.20 Bn | 1.47 Bn | -9.00 Mn |
| 4 | Chipotle Mexican Grill | 36.17 Bn | 32.15 Bn | - | 98,000.00 |
| 5 | Restaurant Brands International | 26.03 Bn | 21.59 Bn | 1.38 Bn | -5.00 Mn |
| 6 | Darden Restaurants | 24.43 Bn | 23.53 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | -5.00 Mn |
| 8 | Yum China Holdings | 15.44 Bn | 9.10 Bn | 537.00 Mn | 4.00 Mn |
| 9 | Texas Roadhouse | 10.99 Bn | 10.33 Bn | - | - |
| 10 | Jack In The Box | 220.75 Mn | 220.75 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 1, 2017 | -20,000.00 |
| Jul 9, 2017 | -2,000.00 |
| Oct 2, 2016 | -54,000.00 |
| Jul 3, 2016 | -2,000.00 |
| Apr 10, 2016 | 45,000.00 |
| Jan 17, 2016 | -32,000.00 |
| Sep 27, 2015 | 8,000.00 |
| Jul 5, 2015 | -48,000.00 |
| Apr 12, 2015 | 8,000.00 |
| Jan 18, 2015 | 3,000.00 |
| Sep 28, 2014 | 4,000.00 |
| Jul 6, 2014 | -2,000.00 |
| Jan 19, 2014 | 5,000.00 |
| Sep 29, 2013 | 4,000.00 |
API Access
Jack In The Box Exchange Rate Effect 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=exchange-rate-effect&ticker=JACK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=JACK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();