Papa Johns International (PZZA) Inventory (2009 - 2026)
Papa Johns International (PZZA) posted Inventory of $32.55 million for Q2 2026, down 13.2% from $37.47 million a year earlier and down 10.1% from the prior quarter.
Papa Johns International (PZZA) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, Papa Johns International's Inventory came in at $34.34 million, down 2.6% from FY2024.
- Annual Inventory has declined for three consecutive years, though with a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- In prior years, Papa Johns International's Inventory was $35.25 million in FY2024 (-2.4%), $36.13 million in FY2023 (-12.7%), $41.38 million in FY2022 (+18.3%) and $34.98 million in FY2021 (+15.6%).
- The Q2 2026 figure stands as the lowest quarterly Inventory since Q2 2021.
- On a year-over-year basis, Inventory has declined in each of the last eight quarters, with an average decline of 3.6% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was Q1 2022, with growth of 41.5%; the weakest was Q2 2026, with a decline of 13.2%.
- According to Business Quant data, Inventory for the three prior quarters was $36.2 million (Q1 2026), $34.34 million (Q4 2025) and $35.76 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.41 Bn | 169.23 Bn | 6.42 Bn | 58.00 Mn |
| 2 | Starbucks | 112.93 Bn | 100.55 Bn | - | 2.21 Bn |
| 3 | Yum Brands | 41.62 Bn | 38.50 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 35.98 Bn | 31.96 Bn | - | 46.62 Mn |
| 5 | Restaurant Brands International | 25.83 Bn | 21.38 Bn | 1.38 Bn | 224.00 Mn |
| 6 | Darden Restaurants | 24.40 Bn | 23.49 Bn | 1.68 Bn | 321.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 224.00 Mn |
| 8 | Yum China Holdings | 15.50 Bn | 9.16 Bn | 537.00 Mn | 459.00 Mn |
| 9 | Texas Roadhouse | 11.02 Bn | 10.36 Bn | - | 49.69 Mn |
| 10 | Papa Johns International | 601.04 Mn | 457.59 Mn | 143.37 Mn | 32.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 32.55 Mn |
| Mar 29, 2026 | 36.20 Mn |
| Dec 28, 2025 | 34.34 Mn |
| Sep 28, 2025 | 35.76 Mn |
| Jun 29, 2025 | 37.47 Mn |
| Mar 30, 2025 | 37.20 Mn |
| Dec 29, 2024 | 35.25 Mn |
| Sep 29, 2024 | 36.49 Mn |
| Jun 30, 2024 | 37.66 Mn |
| Mar 31, 2024 | 38.07 Mn |
| Dec 31, 2023 | 36.13 Mn |
| Sep 24, 2023 | 37.67 Mn |
| Jun 25, 2023 | 37.52 Mn |
| Mar 26, 2023 | 37.11 Mn |
| Dec 25, 2022 | 41.38 Mn |
| Sep 25, 2022 | 42.45 Mn |
| Jun 26, 2022 | 38.08 Mn |
| Mar 27, 2022 | 38.99 Mn |
| Dec 26, 2021 | 34.98 Mn |
| Sep 26, 2021 | 33.49 Mn |
Papa Johns International Inventory 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=inventory&ticker=PZZA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=PZZA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();