Jack In The Box (JACK) Cost of Revenue (2009 - 2022)
Jack In The Box's Cost of Revenue was $3.77 million in fiscal Q3 2022 (quarter ended Jul 10, 2022), up 38.4% from $2.72 million a year earlier but down 24.9% from the prior quarter.
Jack In The Box (JACK) Cost of Revenue (2009 - 2022) Analysis & Trends
On a trailing twelve-month basis, Jack In The Box's Cost of Revenue was $15.42 million through Jul 10, 2022; for FY2020 (ended Sep 27, 2020), it came in at $13.06 million, down 94.7% from FY2019.
- Cost of Revenue has now declined for five consecutive fiscal years, with a five-year compound annual growth rate of -57.3% (FY2015 to FY2020).
- In earlier fiscal years, Cost of Revenue was $248.47 million in FY2019 (-24.7%), $329.84 million in FY2018 (-39.2%), $542.63 million in FY2017 (-7.8%) and $588.32 million in FY2016 (-36.1%).
- Quarterly Cost of Revenue has moved between -$186.7 million (fiscal Q4 2020) and $125.55 million (fiscal Q1 2018) over five years.
- Compared with a year earlier, Cost of Revenue has increased for three straight quarters, with an average decline of 29.6% over the last six quarters.
- The best year-over-year quarter for Cost of Revenue over five years was fiscal Q2 2022 (growth of 50.1%); the worst was fiscal Q1 2021 (a decline of 95.9%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 680.00 Mn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | - |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | - |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 700.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 1.14 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 1.52 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.14 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 2.60 Bn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | - |
| 10 | Jack In The Box | 240.66 Mn | 240.66 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jul 10, 2022 | 3.77 Mn |
| Apr 17, 2022 | 5.02 Mn |
| Jan 23, 2022 | 3.91 Mn |
| Jul 4, 2021 | 2.72 Mn |
| Apr 11, 2021 | 3.34 Mn |
| Jan 17, 2021 | 3.27 Mn |
| Sep 27, 2020 | -186.70 Mn |
| Jul 5, 2020 | 61.50 Mn |
| Apr 12, 2020 | 59.07 Mn |
| Jan 19, 2020 | 79.20 Mn |
| Sep 29, 2019 | 59.79 Mn |
| Jul 7, 2019 | 57.23 Mn |
| Apr 14, 2019 | 55.54 Mn |
| Jan 20, 2019 | 75.90 Mn |
| Sep 30, 2018 | 56.87 Mn |
| Jul 8, 2018 | 63.54 Mn |
| Apr 15, 2018 | 83.88 Mn |
| Jan 21, 2018 | 125.55 Mn |
| Oct 1, 2017 | 107.15 Mn |
| Jul 9, 2017 | 121.09 Mn |
Jack In The Box Cost of Revenue 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=cost-of-revenue&ticker=JACK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=JACK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();