Papa Johns International (PZZA) Tax Provisions (2009 - 2026)
Papa Johns International's Tax Provisions was $4.97 million in Q2 2026, up 17.4% from $4.24 million a year earlier and up 20.2% from the prior quarter.
Papa Johns International (PZZA) Tax Provisions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Papa Johns International's Tax Provisions was $16.59 million through Jun 28, 2026, down 36.6% year-over-year; for FY2025, it was $16.26 million, down 45.7% from FY2024.
- Tax Provisions shows a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- In earlier years, Tax Provisions was $29.93 million in FY2024 (+43.4%), $20.87 million in FY2023 (+44.8%), $14.42 million in FY2022 (-44.5%) and $25.99 million in FY2021 (+76.2%).
- Quarterly Tax Provisions has moved between -$1.26 million (Q1 2022) and $12.81 million (Q3 2024) over five years.
- Compared with a year earlier, Tax Provisions was higher in four of the last eight quarters, with growth averaging 10.3%.
- The best year-over-year quarter for Tax Provisions over five years was Q3 2024 (growth of 182.3%); the worst was Q3 2025 (a decline of 86.3%).
- Per Business Quant data, PZZA's Tax Provisions in the three quarters before Q2 2026 was $4.14 million (Q1 2026), $5.73 million (Q4 2025) and $1.75 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.16 Bn | 168.98 Bn | 6.42 Bn | 574.00 Mn |
| 2 | Starbucks | 112.39 Bn | 100.02 Bn | - | 374.40 Mn |
| 3 | Yum Brands | 41.31 Bn | 38.20 Bn | 1.47 Bn | -320.00 Mn |
| 4 | Chipotle Mexican Grill | 36.17 Bn | 32.15 Bn | - | 129.73 Mn |
| 5 | Restaurant Brands International | 26.03 Bn | 21.59 Bn | 1.38 Bn | -73.00 Mn |
| 6 | Darden Restaurants | 24.43 Bn | 23.53 Bn | 1.68 Bn | 34.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | -73.00 Mn |
| 8 | Yum China Holdings | 15.44 Bn | 9.10 Bn | 537.00 Mn | 92.00 Mn |
| 9 | Texas Roadhouse | 10.99 Bn | 10.33 Bn | - | 19.48 Mn |
| 10 | Papa Johns International | 599.06 Mn | 455.61 Mn | 143.37 Mn | 4.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 4.97 Mn |
| Mar 29, 2026 | 4.14 Mn |
| Dec 28, 2025 | 5.73 Mn |
| Sep 28, 2025 | 1.75 Mn |
| Jun 29, 2025 | 4.24 Mn |
| Mar 30, 2025 | 4.54 Mn |
| Dec 29, 2024 | 4.58 Mn |
| Sep 29, 2024 | 12.81 Mn |
| Jun 30, 2024 | 4.79 Mn |
| Mar 31, 2024 | 7.74 Mn |
| Dec 31, 2023 | 4.33 Mn |
| Sep 24, 2023 | 4.54 Mn |
| Jun 25, 2023 | 5.78 Mn |
| Mar 26, 2023 | 6.23 Mn |
| Dec 25, 2022 | 5.21 Mn |
| Sep 25, 2022 | 3.37 Mn |
| Jun 26, 2022 | 7.09 Mn |
| Mar 27, 2022 | -1.26 Mn |
| Dec 26, 2021 | 6.61 Mn |
| Sep 26, 2021 | 4.06 Mn |
Papa Johns International Tax Provisions 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=tax-provisions&ticker=PZZA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=PZZA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();