Papa Johns International (PZZA) Long-Term Debt Repayments (2018 - 2026)
Papa Johns International's Long-Term Debt Repayments was $2.57 million in Q2 2026, up 2.2% from $2.51 million a year earlier and up 0.5% from the prior quarter.
Papa Johns International (PZZA) Long-Term Debt Repayments (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Papa Johns International's Long-Term Debt Repayments was $10.29 million through Jun 28, 2026, up 19.2% year-over-year; for FY2025, it was $10.08 million, up 18.2% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of -12.8% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $8.53 million in FY2024 (-3.3%), $8.82 million in FY2023 (+62.9%), $5.42 million in FY2022 (-98.4%) and $340 million in FY2021.
- Quarterly Long-Term Debt Repayments has moved between $1.74 million (Q1 2023) and $330 million (Q3 2021) over five years.
- Compared with a year earlier, Long-Term Debt Repayments has increased for five straight quarters, with growth averaging 4.9% over the last eight quarters.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q4 2025 (growth of 49.9%); the worst was Q4 2023 (a decline of 47.5%).
- Per Business Quant data, PZZA's Long-Term Debt Repayments in the three quarters before Q2 2026 was $2.55 million (Q1 2026), $2.62 million (Q4 2025) and $2.55 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 173.28 Bn | 168.10 Bn | 6.42 Bn | 580.00 Mn |
| 2 | Starbucks | 112.30 Bn | 99.93 Bn | - | 1.82 Bn |
| 3 | Yum Brands | 41.26 Bn | 38.15 Bn | 1.47 Bn | 6.00 Mn |
| 4 | Chipotle Mexican Grill | 36.26 Bn | 32.24 Bn | - | - |
| 5 | Restaurant Brands International | 25.97 Bn | 21.52 Bn | 1.38 Bn | 29.00 Mn |
| 6 | Darden Restaurants | 24.41 Bn | 23.50 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 | 15.47 Bn | 9.12 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 11.02 Bn | 10.36 Bn | - | - |
| 10 | Papa Johns International | 609.13 Mn | 465.68 Mn | 143.37 Mn | 2.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 2.57 Mn |
| Mar 29, 2026 | 2.55 Mn |
| Dec 28, 2025 | 2.62 Mn |
| Sep 28, 2025 | 2.55 Mn |
| Jun 29, 2025 | 2.51 Mn |
| Mar 30, 2025 | 2.39 Mn |
| Dec 29, 2024 | 1.75 Mn |
| Sep 29, 2024 | 1.98 Mn |
| Jun 30, 2024 | 2.36 Mn |
| Mar 31, 2024 | 2.43 Mn |
| Dec 31, 2023 | 2.85 Mn |
| Sep 24, 2023 | 2.31 Mn |
| Jun 25, 2023 | 1.93 Mn |
| Mar 26, 2023 | 1.74 Mn |
| Dec 25, 2022 | 5.42 Mn |
| Dec 26, 2021 | 4.57 Mn |
| Sep 26, 2021 | 330.00 Mn |
| Jun 27, 2021 | 5.00 Mn |
| Mar 28, 2021 | 5.00 Mn |
| Dec 27, 2020 | 5.00 Mn |
Papa Johns International 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=PZZA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "PZZA", "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=PZZA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();