Jack In The Box (JACK) Long-Term Debt Repayments (2009 - 2026)
Jack In The Box (JACK) recorded Long-Term Debt Repayments of $643.27 million in fiscal Q3 2026 (quarter ended Jul 5, 2026), compared with $7.46 million a year earlier.
Jack In The Box (JACK) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a TTM basis, Jack In The Box's Long-Term Debt Repayments came in at $665.67 million as of Jul 5, 2026; for FY2025 (ended Sep 28, 2025), it was $29.86 million, down 0.1% from FY2024.
- Annual Long-Term Debt Repayments has declined for three straight fiscal years, though with a five-year compound annual growth rate of 23.2% (FY2020 to FY2025).
- Across earlier fiscal years, Long-Term Debt Repayments came in at $29.89 million in FY2024 (-40.2%), $50 million in FY2023 (-91.5%), $588.06 million in FY2022 (+445.1%) and $107.88 million in FY2021 (+923.9%).
- The fiscal Q3 2026 figure is the highest quarterly Long-Term Debt Repayments since fiscal Q4 2019.
- On a year-over-year basis, Long-Term Debt Repayments rose in 1 of the last four quarters, with an average decline of 0.1%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 432.0% in fiscal Q2 2022, against a decline of 92.6% in fiscal Q2 2023 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.16 Bn | 168.98 Bn | 6.42 Bn | 580.00 Mn |
| 2 | Starbucks | 112.39 Bn | 100.02 Bn | - | 1.82 Bn |
| 3 | Yum Brands | 41.31 Bn | 38.20 Bn | 1.47 Bn | 6.00 Mn |
| 4 | Chipotle Mexican Grill | 36.17 Bn | 32.15 Bn | - | - |
| 5 | Restaurant Brands International | 26.03 Bn | 21.59 Bn | 1.38 Bn | 29.00 Mn |
| 6 | Darden Restaurants | 24.43 Bn | 23.53 Bn | 1.68 Bn | 5.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 29.00 Mn |
| 8 | Yum China Holdings | 15.44 Bn | 9.10 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 10.99 Bn | 10.33 Bn | - | - |
| 10 | Jack In The Box | 220.75 Mn | 220.75 Mn | - | 643.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 643.27 Mn |
| Sep 28, 2025 | 7.49 Mn |
| Jul 6, 2025 | 7.46 Mn |
| Apr 13, 2025 | 7.46 Mn |
| Jan 19, 2025 | 13.46 Mn |
| Sep 29, 2024 | 7.60 Mn |
| Jul 7, 2024 | 7.47 Mn |
| Apr 14, 2024 | 7.34 Mn |
| Jan 21, 2024 | 7.48 Mn |
| Oct 1, 2023 | 7.49 Mn |
| Jul 9, 2023 | 7.53 Mn |
| Apr 16, 2023 | 57.53 Mn |
| Jan 22, 2023 | 7.56 Mn |
| Oct 2, 2022 | 7.55 Mn |
| Jul 10, 2022 | 16.56 Mn |
| Apr 17, 2022 | 581.74 Mn |
| Jan 23, 2022 | 223,000.00 |
| Oct 3, 2021 | 189,000.00 |
| Jul 4, 2021 | 225,000.00 |
| Apr 11, 2021 | 108.08 Mn |
Jack In The Box Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=JACK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=JACK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();