Papa Johns International (PZZA) Operating Expenses (2009 - 2026)
Papa Johns International (PZZA) recorded Operating Expenses of $459.21 million in Q2 2026, down 9.0% from $504.68 million a year earlier but up 0.3% from the prior quarter.
Papa Johns International (PZZA) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Papa Johns International's Operating Expenses came in at $1.88 billion as of Jun 28, 2026, down 3.0% year-over-year; for FY2025, it came in at $1.96 billion, up 3.3% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $1.9 billion in FY2024 (-4.3%), $1.99 billion in FY2023 (+0.4%), $1.98 billion in FY2022 (+4.3%) and $1.9 billion in FY2021 (+10.3%).
- Quarterly Operating Expenses has ranged from $441.58 million in Q3 2024 to $528.76 million in Q4 2023 over the past five years.
- On a year-over-year basis, Operating Expenses has declined for three consecutive quarters, with an average decline of 2.2% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 11.4% in Q3 2025, against a decline of 10.1% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $457.85 million (Q1 2026), $473.66 million (Q4 2025) and $491.98 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 3.76 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 8.42 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 2.82 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 1.51 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 1.80 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 3.20 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.80 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 2.79 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 1.54 Bn |
| 10 | Papa Johns International | 669.30 Mn | 536.63 Mn | 143.37 Mn | 459.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 459.21 Mn |
| Mar 29, 2026 | 457.85 Mn |
| Dec 28, 2025 | 473.66 Mn |
| Sep 28, 2025 | 491.98 Mn |
| Jun 29, 2025 | 504.68 Mn |
| Mar 30, 2025 | 494.34 Mn |
| Dec 29, 2024 | 501.24 Mn |
| Sep 29, 2024 | 441.58 Mn |
| Jun 30, 2024 | 479.67 Mn |
| Mar 31, 2024 | 480.20 Mn |
| Dec 31, 2023 | 528.76 Mn |
| Sep 24, 2023 | 490.94 Mn |
| Jun 25, 2023 | 479.62 Mn |
| Mar 26, 2023 | 489.25 Mn |
| Dec 25, 2022 | 490.00 Mn |
| Sep 25, 2022 | 490.15 Mn |
| Jun 26, 2022 | 483.76 Mn |
| Mar 27, 2022 | 517.10 Mn |
| Dec 26, 2021 | 490.72 Mn |
| Sep 26, 2021 | 474.21 Mn |
Papa Johns International Operating Expenses 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-expenses&ticker=PZZA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=PZZA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();