Papa Johns International (PZZA) Total Liabilities (2009 - 2026)
Papa Johns International (PZZA) recorded Total Liabilities of $1.26 billion in Q2 2026, down 3.8% from $1.31 billion a year earlier and down 1.0% from the prior quarter.
Papa Johns International (PZZA) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Papa Johns International reported Total Liabilities of $1.28 billion, down 1.6% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $1.3 billion in FY2024 (-1.2%), $1.32 billion in FY2023 (+16.2%), $1.13 billion in FY2022 (+7.3%) and $1.06 billion in FY2021 (-7.2%).
- The Q2 2026 figure is the lowest quarterly Total Liabilities since Q4 2022.
- On a year-over-year basis, Total Liabilities has declined for three consecutive quarters, with an average decline of 0.9% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 25.1% in Q2 2023, against a decline of 7.2% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.27 billion (Q1 2026), $1.28 billion (Q4 2025) and $1.32 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.16 Bn | 168.98 Bn | 6.42 Bn | 60.94 Bn |
| 2 | Starbucks | 112.39 Bn | 100.02 Bn | - | 35.97 Bn |
| 3 | Yum Brands | 41.31 Bn | 38.20 Bn | 1.47 Bn | 15.79 Bn |
| 4 | Chipotle Mexican Grill | 36.17 Bn | 32.15 Bn | - | 6.66 Bn |
| 5 | Restaurant Brands International | 26.03 Bn | 21.59 Bn | 1.38 Bn | 19.63 Bn |
| 6 | Darden Restaurants | 24.43 Bn | 23.53 Bn | 1.68 Bn | 11.16 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 19.63 Bn |
| 8 | Yum China Holdings | 15.44 Bn | 9.10 Bn | 537.00 Mn | 4.81 Bn |
| 9 | Texas Roadhouse | 10.99 Bn | 10.33 Bn | - | 2.09 Bn |
| 10 | Papa Johns International | 599.06 Mn | 455.61 Mn | 143.37 Mn | 1.26 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.26 Bn |
| Mar 29, 2026 | 1.27 Bn |
| Dec 28, 2025 | 1.28 Bn |
| Sep 28, 2025 | 1.32 Bn |
| Jun 29, 2025 | 1.31 Bn |
| Mar 30, 2025 | 1.31 Bn |
| Dec 29, 2024 | 1.30 Bn |
| Sep 29, 2024 | 1.28 Bn |
| Jun 30, 2024 | 1.28 Bn |
| Mar 31, 2024 | 1.29 Bn |
| Dec 31, 2023 | 1.32 Bn |
| Sep 24, 2023 | 1.34 Bn |
| Jun 25, 2023 | 1.34 Bn |
| Mar 26, 2023 | 1.34 Bn |
| Dec 25, 2022 | 1.13 Bn |
| Sep 25, 2022 | 1.09 Bn |
| Jun 26, 2022 | 1.07 Bn |
| Mar 27, 2022 | 1.09 Bn |
| Dec 26, 2021 | 1.06 Bn |
| Sep 26, 2021 | 1.03 Bn |
Papa Johns International Total 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-liabilities&ticker=PZZA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=PZZA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();