Papa Johns International (PZZA) Return on Sales [ROS] (2009 - 2026)
Papa Johns International (PZZA) recorded Return on Sales [ROS] of 4.81% in Q2 2026, up 0.18 percentage points from 4.63% a year earlier and up 0.47 percentage points from the prior quarter.
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Analysis
Papa Johns International (PZZA) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Papa Johns International's Return on Sales [ROS] came in at 4.30% as of Jun 28, 2026, down 2.57 percentage points year-over-year; for FY2025, it was 4.34%, down 3.27 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -0.64 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 7.61% in FY2024 (+0.72 pp), 6.89% in FY2023 (+1.70 pp), 5.19% in FY2022 (-2.95 pp) and 8.13% in FY2021 (+3.16 pp).
- Quarterly Return on Sales [ROS] has ranged from 2.66% in Q1 2022 to 12.87% in Q3 2024 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in two of the last eight quarters, with an average year-over-year change of -1.05 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 6.78 percentage points in Q3 2024, against a drop of 9.69 percentage points in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 4.34% (Q1 2026), 4.92% (Q4 2025) and 3.18% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 47.02% |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 10.52% |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 15.70% |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 30.20% |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 28.41% |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 13.90% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 28.41% |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 11.09% |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 8.50% |
| 10 | Papa Johns International | 648.56 Mn | 515.89 Mn | 143.37 Mn | 4.81% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 4.81% |
| Mar 29, 2026 | 4.34% |
| Dec 28, 2025 | 4.92% |
| Sep 28, 2025 | 3.18% |
| Jun 29, 2025 | 4.63% |
| Mar 30, 2025 | 4.62% |
| Dec 29, 2024 | 5.56% |
| Sep 29, 2024 | 12.87% |
| Jun 30, 2024 | 5.56% |
| Mar 31, 2024 | 6.56% |
| Dec 31, 2023 | 7.45% |
| Sep 24, 2023 | 6.10% |
| Jun 25, 2023 | 6.79% |
| Mar 26, 2023 | 7.17% |
| Dec 25, 2022 | 6.88% |
| Sep 25, 2022 | 3.81% |
| Jun 26, 2022 | 7.44% |
| Mar 27, 2022 | 2.66% |
| Dec 26, 2021 | 7.22% |
| Sep 26, 2021 | 7.52% |
API Access
Papa Johns International Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=PZZA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=PZZA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();