Papa Johns International (PZZA) Revenue (2009 - 2026)
Papa Johns International (PZZA) reported Revenue of $482.4 million for Q2 2026, down 8.8% from $529.17 million a year earlier but up 0.8% from the prior quarter.
Papa Johns International (PZZA) Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Papa Johns International's Revenue came in at $1.97 billion, down 5.6% year-over-year; for FY2025, it was $2.05 billion, down 0.3% from FY2024.
- Revenue has a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- By year, Revenue came in at $2.06 billion in FY2024 (-3.6%), $2.14 billion in FY2023 (+1.6%), $2.1 billion in FY2022 (+1.6%) and $2.07 billion in FY2021 (+14.1%).
- Five-year quarterly Revenue spans a low of $478.61 million in Q1 2026 and a high of $571.32 million in Q4 2023.
- Year over year, Revenue has now declined in each of the last three quarters, with an average decline of 3.4% over the last eight quarters.
- The high point for year-over-year Revenue in five years was Q4 2021 (growth of 12.6%); the low point was Q2 2026 (a decline of 8.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $478.61 million (Q1 2026), $498.18 million (Q4 2025) and $508.15 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 7.10 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 9.32 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 3.35 Bn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 2.17 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 2.52 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 3.72 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.52 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 3.14 Bn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 1.68 Bn |
| 10 | Papa Johns International | 648.56 Mn | 515.89 Mn | 143.37 Mn | 482.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 482.40 Mn |
| Mar 29, 2026 | 478.61 Mn |
| Dec 28, 2025 | 498.18 Mn |
| Sep 28, 2025 | 508.15 Mn |
| Jun 29, 2025 | 529.17 Mn |
| Mar 30, 2025 | 518.31 Mn |
| Dec 29, 2024 | 530.77 Mn |
| Sep 29, 2024 | 506.81 Mn |
| Jun 30, 2024 | 507.89 Mn |
| Mar 31, 2024 | 513.92 Mn |
| Dec 31, 2023 | 571.32 Mn |
| Sep 24, 2023 | 522.81 Mn |
| Jun 25, 2023 | 514.53 Mn |
| Mar 26, 2023 | 527.05 Mn |
| Dec 25, 2022 | 526.23 Mn |
| Sep 25, 2022 | 510.51 Mn |
| Jun 26, 2022 | 522.67 Mn |
| Mar 27, 2022 | 542.69 Mn |
| Dec 26, 2021 | 528.89 Mn |
| Sep 26, 2021 | 512.78 Mn |
Papa Johns International Revenue 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=revenue&ticker=PZZA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=PZZA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();