Jack In The Box (JACK) EBITDA (2009 - 2026)
Jack In The Box (JACK) posted EBITDA of $63.28 million for fiscal Q3 2026 (quarter ended Jul 5, 2026), up 10.9% from $57.04 million a year earlier and up 36.2% from the prior quarter.
Powered by 
Analysis
Jack In The Box (JACK) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 5, 2026, EBITDA at Jack In The Box was $10.68 million, down 95.9% year-over-year; for FY2025 (ended Sep 28, 2025), it came in at $40.24 million, down 71.7% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of -32.5% (FY2020 to FY2025).
- In prior fiscal years, Jack In The Box's EBITDA was $142.31 million in FY2024 (-58.3%), $341.04 million in FY2023 (+12.0%), $304.37 million in FY2022 (-10.5%) and $339.9 million in FY2021 (+18.7%).
- The fiscal Q3 2026 figure stands as the highest quarterly EBITDA since fiscal Q1 2025.
- On a year-over-year basis, EBITDA increased in 1 of the last five quarters, with an average decline of 8.4%.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q2 2023, with growth of 50.4%; the weakest was fiscal Q2 2022, with a decline of 33.5%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.50 Bn | 169.32 Bn | 6.42 Bn | 3.90 Bn |
| 2 | Starbucks | 113.12 Bn | 100.74 Bn | - | 1.37 Bn |
| 3 | Yum Brands | 41.68 Bn | 38.56 Bn | 1.47 Bn | 715.00 Mn |
| 4 | Chipotle Mexican Grill | 37.78 Bn | 33.76 Bn | - | 623.92 Mn |
| 5 | Restaurant Brands International | 26.16 Bn | 21.71 Bn | 1.38 Bn | 799.00 Mn |
| 6 | Darden Restaurants | 24.73 Bn | 23.83 Bn | 1.68 Bn | 463.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 799.00 Mn |
| 8 | Yum China Holdings | 15.70 Bn | 9.35 Bn | 537.00 Mn | 468.00 Mn |
| 9 | Texas Roadhouse | 11.11 Bn | 10.45 Bn | - | 201.13 Mn |
| 10 | Jack In The Box | 232.73 Mn | 232.73 Mn | - | 64.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 64.29 Mn |
| Apr 12, 2026 | 46.45 Mn |
| Sep 28, 2025 | -154.99 Mn |
| Jul 6, 2025 | 58.13 Mn |
| Apr 13, 2025 | 57.45 Mn |
| Jan 19, 2025 | 84.41 Mn |
| Sep 29, 2024 | 65.78 Mn |
| Jul 7, 2024 | -87.30 Mn |
| Apr 14, 2024 | 69.21 Mn |
| Jan 21, 2024 | 99.45 Mn |
| Oct 1, 2023 | 67.59 Mn |
| Jul 9, 2023 | 79.13 Mn |
| Apr 16, 2023 | 77.41 Mn |
| Jan 22, 2023 | 121.95 Mn |
| Oct 2, 2022 | 100.98 Mn |
| Jul 10, 2022 | 69.80 Mn |
| Apr 17, 2022 | 51.13 Mn |
| Jan 23, 2022 | 87.96 Mn |
| Oct 3, 2021 | 80.89 Mn |
| Jul 4, 2021 | 79.06 Mn |
API Access
Jack In The Box EBITDA 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=ebitda&ticker=JACK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=JACK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();