Papa Johns International (PZZA) EBT (2009 - 2026)
Papa Johns International's EBT was $13.67 million in Q2 2026, down 1.7% from $13.91 million a year earlier but up 23.4% from the prior quarter.
Papa Johns International (PZZA) EBT (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Papa Johns International's EBT was $45.33 million through Jun 28, 2026, down 55.5% year-over-year; for FY2025, it came in at $48.38 million, down 57.6% from FY2024.
- EBT shows a five-year compound annual growth rate of -8.5% (FY2020 to FY2025).
- In earlier years, EBT was $114.13 million in FY2024 (+10.1%), $103.67 million in FY2023 (+23.8%), $83.77 million in FY2022 (-44.5%) and $150.95 million in FY2021 (+100.3%).
- Quarterly EBT has moved between $6.23 million (Q3 2025) and $54.6 million (Q3 2024) over five years.
- Compared with a year earlier, EBT has declined for seven straight quarters, with an average decline of 8.2% over the last eight quarters.
- The best year-over-year quarter for EBT over five years was Q1 2023 (growth of 182.9%); the worst was Q3 2025 (a decline of 88.6%).
- Per Business Quant data, PZZA's EBT in the three quarters before Q2 2026 was $11.08 million (Q1 2026), $14.36 million (Q4 2025) and $6.23 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 2.94 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 1.42 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 533.27 Mn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 533.00 Mn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 592.00 Mn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 465.60 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 592.00 Mn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 354.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 143.99 Mn |
| 10 | Papa Johns International | 669.30 Mn | 536.63 Mn | 143.37 Mn | 13.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 13.67 Mn |
| Mar 29, 2026 | 11.08 Mn |
| Dec 28, 2025 | 14.36 Mn |
| Sep 28, 2025 | 6.23 Mn |
| Jun 29, 2025 | 13.91 Mn |
| Mar 30, 2025 | 13.89 Mn |
| Dec 29, 2024 | 19.54 Mn |
| Sep 29, 2024 | 54.60 Mn |
| Jun 30, 2024 | 17.33 Mn |
| Mar 31, 2024 | 22.66 Mn |
| Dec 31, 2023 | 30.77 Mn |
| Sep 24, 2023 | 20.49 Mn |
| Jun 25, 2023 | 23.64 Mn |
| Mar 26, 2023 | 28.78 Mn |
| Dec 25, 2022 | 28.94 Mn |
| Sep 25, 2022 | 11.84 Mn |
| Jun 26, 2022 | 32.82 Mn |
| Mar 27, 2022 | 10.17 Mn |
| Dec 26, 2021 | 32.15 Mn |
| Sep 26, 2021 | 34.60 Mn |
Papa Johns International EBT 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=ebt&ticker=PZZA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=PZZA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();