Papa Johns International (PZZA) Other Non-Current Liabilities (2009 - 2026)
Papa Johns International (PZZA) reported Other Non-Current Liabilities of $55.57 million for Q2 2026, down 13.7% from $64.36 million a year earlier but up 0.3% from the prior quarter.
Papa Johns International (PZZA) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Papa Johns International posted Other Non-Current Liabilities of $62.26 million, down 4.1% from FY2024.
- Other Non-Current Liabilities has a five-year compound annual growth rate of -11.0% (FY2020 to FY2025).
- By year, Other Non-Current Liabilities came in at $64.92 million in FY2024 (+7.9%), $60.19 million in FY2023 (-11.9%), $68.32 million in FY2022 (-26.7%) and $93.15 million in FY2021 (-16.4%).
- Five-year quarterly Other Non-Current Liabilities spans a low of $55.43 million in Q1 2026 and a high of $98.87 million in Q3 2021.
- Year over year, Other Non-Current Liabilities has now declined in each of the last three quarters, with an average decline of 2.4% over the last eight quarters.
- The high point for year-over-year Other Non-Current Liabilities in five years was Q4 2024 (growth of 7.9%); the low point was Q4 2022 (a decline of 26.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $55.43 million (Q1 2026), $62.26 million (Q4 2025) and $65.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - |
| 10 | Papa Johns International | 669.30 Mn | 536.63 Mn | 143.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 55.57 Mn |
| Mar 29, 2026 | 55.43 Mn |
| Dec 28, 2025 | 62.26 Mn |
| Sep 28, 2025 | 65.88 Mn |
| Jun 29, 2025 | 64.36 Mn |
| Mar 30, 2025 | 62.84 Mn |
| Dec 29, 2024 | 64.92 Mn |
| Sep 29, 2024 | 64.88 Mn |
| Jun 30, 2024 | 63.55 Mn |
| Mar 31, 2024 | 62.40 Mn |
| Dec 31, 2023 | 60.19 Mn |
| Sep 24, 2023 | 65.49 Mn |
| Jun 25, 2023 | 65.11 Mn |
| Mar 26, 2023 | 67.18 Mn |
| Dec 25, 2022 | 68.32 Mn |
| Sep 25, 2022 | 77.91 Mn |
| Jun 26, 2022 | 79.52 Mn |
| Mar 27, 2022 | 89.21 Mn |
| Dec 26, 2021 | 93.15 Mn |
| Sep 26, 2021 | 98.87 Mn |
Papa Johns International Other 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=other-non-current-liabilities&ticker=PZZA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=PZZA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();