Papa Johns International (PZZA) Total Non-Current Liabilities (2009 - 2026)
Papa Johns International's Total Non-Current Liabilities was $1.2 billion in Q2 2026, down 3.2% from $1.24 billion a year earlier and down 1.0% from the prior quarter.
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Analysis
Papa Johns International (PZZA) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Papa Johns International came in at $1.22 billion, down 1.5% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $1.24 billion in FY2024 (-1.6%), $1.26 billion in FY2023 (+18.0%), $1.07 billion in FY2022 (+10.5%) and $965.01 million in FY2021 (-6.2%).
- The Q2 2026 figure marks the lowest quarterly Total Non-Current Liabilities since Q4 2022.
- Compared with a year earlier, Total Non-Current Liabilities has declined for three straight quarters, with an average decline of 0.8% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2023 (growth of 28.6%); the worst was Q4 2021 (a decline of 6.2%).
- Per Business Quant data, PZZA's Total Non-Current Liabilities in the three quarters before Q2 2026 was $1.21 billion (Q1 2026), $1.22 billion (Q4 2025) and $1.26 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.41 Bn | 169.23 Bn | 6.42 Bn | 60.09 Bn |
| 2 | Starbucks | 112.93 Bn | 100.55 Bn | - | - |
| 3 | Yum Brands | 41.62 Bn | 38.50 Bn | 1.47 Bn | 13.75 Bn |
| 4 | Chipotle Mexican Grill | 35.98 Bn | 31.96 Bn | - | 6.58 Bn |
| 5 | Restaurant Brands International | 25.83 Bn | 21.38 Bn | 1.38 Bn | 18.73 Bn |
| 6 | Darden Restaurants | 24.40 Bn | 23.49 Bn | 1.68 Bn | 9.21 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 18.73 Bn |
| 8 | Yum China Holdings | 15.50 Bn | 9.16 Bn | 537.00 Mn | 4.65 Bn |
| 9 | Texas Roadhouse | 11.02 Bn | 10.36 Bn | - | 1.88 Bn |
| 10 | Papa Johns International | 601.04 Mn | 457.59 Mn | 143.37 Mn | 1.20 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.20 Bn |
| Mar 29, 2026 | 1.21 Bn |
| Dec 28, 2025 | 1.22 Bn |
| Sep 28, 2025 | 1.26 Bn |
| Jun 29, 2025 | 1.24 Bn |
| Mar 30, 2025 | 1.25 Bn |
| Dec 29, 2024 | 1.24 Bn |
| Sep 29, 2024 | 1.21 Bn |
| Jun 30, 2024 | 1.22 Bn |
| Mar 31, 2024 | 1.23 Bn |
| Dec 31, 2023 | 1.26 Bn |
| Sep 24, 2023 | 1.27 Bn |
| Jun 25, 2023 | 1.27 Bn |
| Mar 26, 2023 | 1.27 Bn |
| Dec 25, 2022 | 1.07 Bn |
| Sep 25, 2022 | 1.01 Bn |
| Jun 26, 2022 | 990.55 Mn |
| Mar 27, 2022 | 1.00 Bn |
| Dec 26, 2021 | 965.01 Mn |
| Sep 26, 2021 | 928.13 Mn |
API Access
Papa Johns International Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=PZZA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=PZZA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();