El Pollo Loco Holdings (LOCO) Return on Sales [ROS] (2013 - 2026)
El Pollo Loco Holdings (LOCO) posted Return on Sales [ROS] of 14.42% for Q2 2026, up 5.43 percentage points from 8.98% a year earlier and up 4.74 percentage points from the prior quarter.
El Pollo Loco Holdings (LOCO) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jul 1, 2026, Return on Sales [ROS] at El Pollo Loco Holdings was 10.52%, up 2.29 percentage points year-over-year; for FY2025, it came in at 8.58%, down 0.12 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +0.70 percentage points (FY2020 to FY2025).
- In prior years, El Pollo Loco Holdings' Return on Sales [ROS] was 8.70% in FY2024 (+0.21 pp), 8.49% in FY2023 (+2.08 pp), 6.41% in FY2022 (-2.69 pp) and 9.10% in FY2021 (+1.22 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q2 2019.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last four quarters, with an average year-over-year change of +0.68 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2023, with a gain of 5.65 percentage points; the weakest was Q3 2022, with a drop of 6.59 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 9.68% (Q1 2026), 8.35% (Q4 2025) and 9.43% (Q3 2025).
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 | El Pollo Loco Holdings | 432.86 Mn | 398.53 Mn | 42.50 Mn | 14.42% |
Historic Data
| Date | Value |
|---|---|
| Jul 1, 2026 | 14.42% |
| Apr 1, 2026 | 9.68% |
| Dec 31, 2025 | 8.35% |
| Sep 24, 2025 | 9.43% |
| Jun 25, 2025 | 8.98% |
| Mar 26, 2025 | 7.53% |
| Dec 25, 2024 | 7.90% |
| Sep 25, 2024 | 8.42% |
| Jun 26, 2024 | 10.08% |
| Mar 27, 2024 | 8.33% |
| Dec 27, 2023 | 6.65% |
| Sep 27, 2023 | 11.37% |
| Jun 28, 2023 | 8.96% |
| Mar 29, 2023 | 6.77% |
| Dec 28, 2022 | 8.20% |
| Sep 28, 2022 | 5.73% |
| Jun 29, 2022 | 8.40% |
| Mar 30, 2022 | 3.02% |
| Dec 29, 2021 | 7.73% |
| Sep 29, 2021 | 12.31% |
El Pollo Loco Holdings 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=LOCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LOCO", "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=LOCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();