Jack In The Box (JACK) Change in Accured Expenses (2011 - 2026)
Jack In The Box (JACK) recorded Change in Accured Expenses of $3.87 million in fiscal Q3 2026 (quarter ended Jul 5, 2026), down 87.2% from $30.29 million a year earlier.
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Analysis
Jack In The Box (JACK) Change in Accured Expenses (2011 - 2026) Analysis & Trends
On a TTM basis, Jack In The Box's Change in Accured Expenses came in at $6.45 million as of Jul 5, 2026; for FY2025 (ended Sep 28, 2025), it was $10.45 million.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of 19.9% (FY2020 to FY2025).
- Across earlier fiscal years, Change in Accured Expenses came in at -$135.16 million in FY2024, $47.46 million in FY2023, -$9.08 million in FY2022 and $28.99 million in FY2021 (+586.6%).
- Quarterly Change in Accured Expenses has ranged from -$125.86 million in fiscal Q1 2024 to $39.57 million in fiscal Q3 2023 over the past five years.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 312.8% in fiscal Q3 2023, against a decline of 87.2% in fiscal Q3 2026 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.07 Bn | 158.89 Bn | 6.42 Bn | - |
| 2 | Starbucks | 108.16 Bn | 95.79 Bn | - | - |
| 3 | Chipotle Mexican Grill | 40.91 Bn | 36.89 Bn | - | 100.69 Mn |
| 4 | Yum Brands | 37.32 Bn | 34.20 Bn | 1.47 Bn | 4.00 Mn |
| 5 | Restaurant Brands International | 24.36 Bn | 21.46 Bn | 1.38 Bn | -8.00 Mn |
| 6 | Darden Restaurants | 22.52 Bn | 21.62 Bn | -113.70 Mn | 32.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | -8.00 Mn |
| 8 | Yum China Holdings | 14.14 Bn | 8.50 Bn | 537.00 Mn | 107.00 Mn |
| 9 | Texas Roadhouse | 10.28 Bn | 9.64 Bn | - | 15.18 Mn |
| 10 | Jack In The Box | 244.91 Mn | 244.91 Mn | - | 3.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 3.87 Mn |
| Sep 28, 2025 | -9.26 Mn |
| Jul 6, 2025 | 30.29 Mn |
| Apr 13, 2025 | -18.46 Mn |
| Jan 19, 2025 | 7.87 Mn |
| Sep 29, 2024 | -21.06 Mn |
| Jul 7, 2024 | 9.43 Mn |
| Apr 14, 2024 | 2.33 Mn |
| Jan 21, 2024 | -125.86 Mn |
| Oct 1, 2023 | 14.93 Mn |
| Jul 9, 2023 | 39.57 Mn |
| Apr 16, 2023 | 17.63 Mn |
| Jan 22, 2023 | -24.68 Mn |
| Oct 2, 2022 | 33.62 Mn |
| Jul 10, 2022 | 9.59 Mn |
| Apr 17, 2022 | -4.44 Mn |
| Jan 23, 2022 | -47.85 Mn |
| Oct 3, 2021 | 8.38 Mn |
| Jul 4, 2021 | 14.11 Mn |
| Apr 11, 2021 | -2.29 Mn |
API Access
Jack In The Box Change in Accured 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=change-in-accured-expenses&ticker=JACK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=JACK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();