Jack In The Box (JACK) Accumulated Expenses (2009 - 2026)
Jack In The Box (JACK) posted Accumulated Expenses of $139.93 million for fiscal Q3 2026 (quarter ended Jul 5, 2026), down 24.9% from $186.41 million a year earlier but up 2.4% from the prior quarter.
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Analysis
Jack In The Box (JACK) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 28, 2025), Jack In The Box's Accumulated Expenses came in at $142.48 million, down 14.6% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- In prior fiscal years, Jack In The Box's Accumulated Expenses was $166.87 million in FY2024 (-44.8%), $302.18 million in FY2023 (+19.0%), $253.93 million in FY2022 (+71.1%) and $148.42 million in FY2021 (+14.7%).
- Quarterly Accumulated Expenses has run from a low of $104.45 million in fiscal Q1 2022 to a high of $302.18 million in fiscal Q4 2023 over five years.
- On a year-over-year basis, Accumulated Expenses increased in two of the last seven quarters, with an average decline of 14.1%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q1 2023, with growth of 115.2%; the weakest was fiscal Q4 2024, with a decline of 44.8%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - |
| 10 | Jack In The Box | 255.54 Mn | 255.54 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 139.93 Mn |
| Apr 12, 2026 | 136.71 Mn |
| Sep 28, 2025 | 142.48 Mn |
| Jul 6, 2025 | 186.41 Mn |
| Apr 13, 2025 | 167.74 Mn |
| Jan 19, 2025 | 168.36 Mn |
| Sep 29, 2024 | 166.87 Mn |
| Jul 7, 2024 | 178.69 Mn |
| Apr 14, 2024 | 168.97 Mn |
| Jan 21, 2024 | 167.79 Mn |
| Oct 1, 2023 | 302.18 Mn |
| Jul 9, 2023 | 281.78 Mn |
| Apr 16, 2023 | 243.54 Mn |
| Jan 22, 2023 | 224.74 Mn |
| Oct 2, 2022 | 253.93 Mn |
| Jul 10, 2022 | 215.29 Mn |
| Apr 17, 2022 | 161.90 Mn |
| Jan 23, 2022 | 104.45 Mn |
| Oct 3, 2021 | 148.42 Mn |
| Jul 4, 2021 | 137.02 Mn |
API Access
Jack In The Box Accumulated Expenses 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=accumulated-expenses&ticker=JACK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=JACK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();