Papa Johns International (PZZA) Operating Leases (2019 - 2026)
Papa Johns International (PZZA) recorded Operating Leases of $147.41 million in Q2 2026, down 14.4% from $172.18 million a year earlier and down 4.2% from the prior quarter.
Powered by 
Analysis
Papa Johns International (PZZA) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Papa Johns International reported Operating Leases of $156.41 million, down 9.9% from FY2024.
- Annual Operating Leases has a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- Across earlier years, Operating Leases came in at $173.56 million in FY2024 (+14.9%), $151.05 million in FY2023 (-6.1%), $160.91 million in FY2022 (+0.1%) and $160.67 million in FY2021 (+28.9%).
- The Q2 2026 figure is the lowest quarterly Operating Leases since Q2 2024.
- On a year-over-year basis, Operating Leases has declined for four consecutive quarters, with growth averaging 2.9% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 34.9% in Q3 2021, against a decline of 14.4% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $153.85 million (Q1 2026), $156.41 million (Q4 2025) and $156.79 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 174.22 Bn | 169.05 Bn | 6.42 Bn |
| 2 | Starbucks | 112.11 Bn | 99.73 Bn | - |
| 3 | Yum Brands | 41.52 Bn | 38.40 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 35.76 Bn | 31.74 Bn | - |
| 5 | Restaurant Brands International | 25.81 Bn | 21.36 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 23.48 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.42 Bn | 9.08 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.94 Bn | 10.28 Bn | - |
| 10 | Papa Johns International | 595.59 Mn | 452.14 Mn | 143.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 147.41 Mn |
| Mar 29, 2026 | 153.85 Mn |
| Dec 28, 2025 | 156.41 Mn |
| Sep 28, 2025 | 156.79 Mn |
| Jun 29, 2025 | 172.18 Mn |
| Mar 30, 2025 | 172.46 Mn |
| Dec 29, 2024 | 173.56 Mn |
| Sep 29, 2024 | 180.14 Mn |
| Jun 30, 2024 | 144.57 Mn |
| Mar 31, 2024 | 143.80 Mn |
| Dec 31, 2023 | 151.05 Mn |
| Sep 24, 2023 | 153.51 Mn |
| Jun 25, 2023 | 159.17 Mn |
| Mar 26, 2023 | 157.21 Mn |
| Dec 25, 2022 | 160.91 Mn |
| Sep 25, 2022 | 155.95 Mn |
| Jun 26, 2022 | 164.34 Mn |
| Mar 27, 2022 | 164.74 Mn |
| Dec 26, 2021 | 160.67 Mn |
| Sep 26, 2021 | 157.36 Mn |
API Access
Papa Johns International Operating Leases 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=operating-leases&ticker=PZZA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=PZZA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();