Papa Johns International (PZZA) EBIT (2009 - 2026)
Papa Johns International's EBIT was $23.19 million in Q2 2026, down 5.3% from $24.49 million a year earlier but up 11.7% from the prior quarter.
Powered by 
Analysis
Papa Johns International (PZZA) EBIT (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Papa Johns International's EBIT was $84.64 million through Jun 28, 2026, down 40.9% year-over-year; for FY2025, it was $89.15 million, down 43.1% from FY2024.
- EBIT shows a five-year compound annual growth rate of -0.2% (FY2020 to FY2025).
- In earlier years, EBIT was $156.7 million in FY2024 (+6.5%), $147.14 million in FY2023 (+35.0%), $109.03 million in FY2022 (-35.2%) and $168.24 million in FY2021 (+86.4%).
- Quarterly EBIT has moved between $14.44 million (Q1 2022) and $65.23 million (Q3 2024) over five years.
- Compared with a year earlier, EBIT has declined for seven straight quarters, with an average decline of 9.9% over the last eight quarters.
- The best year-over-year quarter for EBIT over five years was Q1 2023 (growth of 161.8%); the worst was Q3 2025 (a decline of 75.2%).
- Per Business Quant data, PZZA's EBIT in the three quarters before Q2 2026 was $20.76 million (Q1 2026), $24.52 million (Q4 2025) and $16.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 3.34 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 980.40 Mn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 525.60 Mn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 655.00 Mn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 716.00 Mn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 516.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 716.00 Mn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 348.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 142.79 Mn |
| 10 | Papa Johns International | 669.30 Mn | 536.63 Mn | 143.37 Mn | 23.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 23.19 Mn |
| Mar 29, 2026 | 20.76 Mn |
| Dec 28, 2025 | 24.52 Mn |
| Sep 28, 2025 | 16.17 Mn |
| Jun 29, 2025 | 24.49 Mn |
| Mar 30, 2025 | 23.97 Mn |
| Dec 29, 2024 | 29.53 Mn |
| Sep 29, 2024 | 65.23 Mn |
| Jun 30, 2024 | 28.23 Mn |
| Mar 31, 2024 | 33.72 Mn |
| Dec 31, 2023 | 42.57 Mn |
| Sep 24, 2023 | 31.87 Mn |
| Jun 25, 2023 | 34.91 Mn |
| Mar 26, 2023 | 37.80 Mn |
| Dec 25, 2022 | 36.23 Mn |
| Sep 25, 2022 | 19.46 Mn |
| Jun 26, 2022 | 38.90 Mn |
| Mar 27, 2022 | 14.44 Mn |
| Dec 26, 2021 | 38.17 Mn |
| Sep 26, 2021 | 38.58 Mn |
API Access
Papa Johns International EBIT 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=ebit&ticker=PZZA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=PZZA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();