Papa Johns International (PZZA) Retained Earnings (2009 - 2026)
Papa Johns International (PZZA) posted Retained Earnings of $195.3 million for Q2 2026, down 15.0% from $229.87 million a year earlier and down 3.6% from the prior quarter.
Papa Johns International (PZZA) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Papa Johns International's Retained Earnings came in at $210.76 million, down 12.8% from FY2024.
- Annual Retained Earnings shows a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- In prior years, Papa Johns International's Retained Earnings was $241.72 million in FY2024 (+10.4%), $219.03 million in FY2023 (+11.8%), $195.86 million in FY2022 (+6.9%) and $183.16 million in FY2021 (-16.4%).
- The Q2 2026 figure stands as the lowest quarterly Retained Earnings since Q3 2022.
- On a year-over-year basis, Retained Earnings has declined in each of the last four quarters, with an average decline of 1.3% over the last eight quarters.
- The strongest year-over-year quarter for Retained Earnings in the past five years was Q2 2022, with growth of 25.3%; the weakest was Q1 2022, with a decline of 25.2%.
- According to Business Quant data, Retained Earnings for the three prior quarters was $202.6 million (Q1 2026), $210.76 million (Q4 2025) and $219.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 173.42 Bn | 168.25 Bn | 6.42 Bn | 71.99 Bn |
| 2 | Starbucks | 112.33 Bn | 99.95 Bn | - | -8.54 Bn |
| 3 | Yum Brands | 41.26 Bn | 38.14 Bn | 1.47 Bn | -6.81 Bn |
| 4 | Chipotle Mexican Grill | 36.22 Bn | 32.20 Bn | - | -67.16 Mn |
| 5 | Restaurant Brands International | 25.95 Bn | 21.51 Bn | 1.38 Bn | 2.18 Bn |
| 6 | Darden Restaurants | 24.45 Bn | 23.55 Bn | 1.68 Bn | -259.50 Mn |
| 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 | 1.70 Bn |
| 9 | Texas Roadhouse | 10.96 Bn | 10.30 Bn | - | 1.56 Bn |
| 10 | Papa Johns International | 598.39 Mn | 454.95 Mn | 143.37 Mn | 195.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 195.30 Mn |
| Mar 29, 2026 | 202.60 Mn |
| Dec 28, 2025 | 210.76 Mn |
| Sep 28, 2025 | 219.04 Mn |
| Jun 29, 2025 | 229.87 Mn |
| Mar 30, 2025 | 235.79 Mn |
| Dec 29, 2024 | 241.72 Mn |
| Sep 29, 2024 | 242.27 Mn |
| Jun 30, 2024 | 215.80 Mn |
| Mar 31, 2024 | 218.61 Mn |
| Dec 31, 2023 | 219.03 Mn |
| Sep 24, 2023 | 208.13 Mn |
| Jun 25, 2023 | 207.46 Mn |
| Mar 26, 2023 | 203.57 Mn |
| Dec 25, 2022 | 195.86 Mn |
| Sep 25, 2022 | 187.29 Mn |
| Jun 26, 2022 | 193.93 Mn |
| Mar 27, 2022 | 181.12 Mn |
| Dec 26, 2021 | 183.16 Mn |
| Sep 26, 2021 | 171.38 Mn |
Papa Johns International Retained Earnings 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=retained-earnings&ticker=PZZA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=PZZA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();