Jack In The Box (JACK) Selling, General & Administrative (2009 - 2026)
Jack In The Box (JACK) recorded Selling, General & Administrative of $17.04 million in fiscal Q3 2026 (quarter ended Jul 5, 2026), down 17.2% from $20.58 million a year earlier and down 35.5% from the prior quarter.
Jack In The Box (JACK) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a TTM basis, Jack In The Box's Selling, General & Administrative came in at $123.72 million as of Jul 5, 2026, up 3.1% year-over-year; for FY2025 (ended Sep 28, 2025), it came in at $149.64 million, up 4.5% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 13.2% (FY2020 to FY2025).
- Across earlier fiscal years, Selling, General & Administrative came in at $143.23 million in FY2024 (-17.1%), $172.87 million in FY2023 (+32.1%), $130.82 million in FY2022 (+59.6%) and $81.96 million in FY2021 (+1.6%).
- The fiscal Q3 2026 figure is the lowest quarterly Selling, General & Administrative since fiscal Q4 2020.
- On a year-over-year basis, Selling, General & Administrative rose in 1 of the last seven quarters, with an average decline of 3.2%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 100.3% in fiscal Q1 2023, against a decline of 31.3% in fiscal Q4 2024 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn | 759.00 Mn |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | 517.30 Mn |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - | 185.23 Mn |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | 305.00 Mn |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | 183.00 Mn |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn | 134.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 183.00 Mn |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn | 155.00 Mn |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | 59.28 Mn |
| 10 | Jack In The Box | 282.22 Mn | 21.07 Mn | 161.39 Mn | 17.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 17.04 Mn |
| Apr 12, 2026 | 26.42 Mn |
| Sep 28, 2025 | 59.68 Mn |
| Jul 6, 2025 | 20.58 Mn |
| Apr 13, 2025 | 28.22 Mn |
| Dec 31, 2024 | 143.23 Mn |
| Sep 29, 2024 | 30.03 Mn |
| Jul 7, 2024 | 29.58 Mn |
| Apr 14, 2024 | 37.52 Mn |
| Dec 31, 2023 | 172.87 Mn |
| Oct 1, 2023 | 43.71 Mn |
| Jul 9, 2023 | 39.62 Mn |
| Apr 16, 2023 | 39.41 Mn |
| Dec 31, 2022 | 130.82 Mn |
| Oct 2, 2022 | 37.55 Mn |
| Jul 10, 2022 | 40.03 Mn |
| Apr 17, 2022 | 28.21 Mn |
| Dec 31, 2021 | 81.96 Mn |
| Oct 3, 2021 | 20.80 Mn |
| Jul 4, 2021 | 21.80 Mn |
Jack In The Box Selling, General & Administrative 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=selling-general-and-administrative&ticker=JACK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=JACK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();