Portillo's (PTLO) Return on Sales [ROS] (2020 - 2026)
Portillo's' Return on Sales [ROS] was 6.92% in Q2 2026, down 2.38 percentage points from 9.30% a year earlier but up 4.46 percentage points from the prior quarter.
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Analysis
Portillo's (PTLO) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Portillo's' Return on Sales [ROS] was 4.55% through Jun 28, 2026, down 3.39 percentage points year-over-year; for FY2025, it was 5.97%, down 2.20 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -6.61 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 8.17% in FY2024 (+0.01 pp), 8.15% in FY2023 (+1.12 pp), 7.03% in FY2022 (+1.42 pp) and 5.61% in FY2021 (-6.97 pp).
- Quarterly Return on Sales [ROS] has moved between -16.21% (Q4 2021) and 12.47% (Q3 2021) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for nine straight quarters, with an average year-over-year change of -1.86 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2022 (a gain of 20.48 percentage points); the worst was Q4 2021 (a drop of 29.39 percentage points).
- Per Business Quant data, PTLO's Return on Sales [ROS] in the three quarters before Q2 2026 was 2.46% (Q1 2026), 5.56% (Q4 2025) and 3.00% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 47.02% |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 10.52% |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 15.70% |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 30.20% |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 28.41% |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 9.98% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 28.41% |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 11.09% |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 8.50% |
| 10 | Portillo's | 266.51 Mn | 213.89 Mn | - | 6.92% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 6.92% |
| Mar 29, 2026 | 2.46% |
| Dec 28, 2025 | 5.56% |
| Sep 28, 2025 | 3.00% |
| Jun 29, 2025 | 9.30% |
| Mar 30, 2025 | 5.88% |
| Dec 29, 2024 | 7.49% |
| Sep 29, 2024 | 8.97% |
| Jun 30, 2024 | 9.96% |
| Mar 31, 2024 | 6.09% |
| Dec 31, 2023 | 7.70% |
| Sep 24, 2023 | 9.05% |
| Jun 25, 2023 | 10.28% |
| Mar 26, 2023 | 5.44% |
| Dec 25, 2022 | 4.27% |
| Sep 25, 2022 | 7.00% |
| Jun 26, 2022 | 11.58% |
| Mar 27, 2022 | 5.07% |
| Dec 26, 2021 | -16.21% |
| Sep 26, 2021 | 12.47% |
API Access
Portillo's 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=PTLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PTLO", "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=PTLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();