Portillo's (PTLO) Return on Capital Employed [ROCE] (2021 - 2026)
Portillo's' Return on Capital Employed [ROCE] was 2.38% in Q2 2026, down 1.88 percentage points from 4.26% a year earlier and down 0.30 percentage points from the prior quarter.
Portillo's (PTLO) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Portillo's came in at 3.21%, down 1.23 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a four-year change of -0.17 percentage points (FY2021 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 4.44% in FY2024 (-0.08 pp), 4.52% in FY2023 (+0.63 pp), 3.88% in FY2022 (+0.51 pp) and 3.38% in FY2021.
- The Q2 2026 figure marks the lowest quarterly Return on Capital Employed [ROCE] since Q3 2022.
- Compared with a year earlier, Return on Capital Employed [ROCE] has declined for seven straight quarters, with an average year-over-year change of -0.68 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q3 2023 (a gain of 2.52 percentage points); the worst was Q2 2026 (a drop of 1.88 percentage points).
- Per Business Quant data, PTLO's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was 2.68% (Q1 2026), 3.11% (Q4 2025) and 3.41% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 22.88% |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 15.26% |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 24.21% |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 65.06% |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 11.51% |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 15.87% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 11.51% |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 16.42% |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 17.04% |
| 10 | Portillo's | 266.51 Mn | 213.89 Mn | - | 2.38% |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 2.38% |
| Mar 29, 2026 | 2.68% |
| Dec 28, 2025 | 3.11% |
| Sep 28, 2025 | 3.41% |
| Jun 29, 2025 | 4.26% |
| Mar 30, 2025 | 4.37% |
| Dec 29, 2024 | 4.30% |
| Sep 29, 2024 | 4.41% |
| Jun 30, 2024 | 4.38% |
| Mar 31, 2024 | 4.44% |
| Dec 31, 2023 | 4.38% |
| Sep 24, 2023 | 3.78% |
| Jun 25, 2023 | 3.49% |
| Mar 26, 2023 | 3.56% |
| Dec 25, 2022 | 3.77% |
| Sep 25, 2022 | 1.26% |
| Jun 26, 2022 | 2.01% |
| Mar 27, 2022 | 2.76% |
| Dec 26, 2021 | 3.34% |
Portillo's Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=PTLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=PTLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();