El Pollo Loco Holdings (LOCO) Operating Expenses (2013 - 2026)
El Pollo Loco Holdings' Operating Expenses was $110.89 million in Q2 2026, down 3.2% from $114.53 million a year earlier and down 2.7% from the prior quarter.
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Analysis
El Pollo Loco Holdings (LOCO) Operating Expenses (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, El Pollo Loco Holdings' Operating Expenses was $448.12 million through Jul 1, 2026, up 1.8% year-over-year; for FY2025, it was $448 million, up 3.7% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $431.84 million in FY2024 (+0.7%), $428.87 million in FY2023 (-2.5%), $439.84 million in FY2022 (+6.5%) and $413.03 million in FY2021 (+5.2%).
- Quarterly Operating Expenses has moved between $100.54 million (Q4 2021) and $114.53 million (Q2 2025) over five years.
- Compared with a year earlier, Operating Expenses was higher in six of the last eight quarters, with growth averaging 2.4%.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2022 (growth of 11.4%); the worst was Q3 2023 (a decline of 5.6%).
- Per Business Quant data, LOCO's Operating Expenses in the three quarters before Q2 2026 was $113.97 million (Q1 2026), $113.21 million (Q4 2025) and $110.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 3.76 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 8.42 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 2.82 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 1.51 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 1.80 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 3.20 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.80 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 2.79 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 1.54 Bn |
| 10 | El Pollo Loco Holdings | 439.56 Mn | 405.23 Mn | 42.50 Mn | 110.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 1, 2026 | 110.89 Mn |
| Apr 1, 2026 | 113.97 Mn |
| Dec 31, 2025 | 113.21 Mn |
| Sep 24, 2025 | 110.06 Mn |
| Jun 25, 2025 | 114.53 Mn |
| Mar 26, 2025 | 110.21 Mn |
| Dec 25, 2024 | 105.25 Mn |
| Sep 25, 2024 | 110.26 Mn |
| Jun 26, 2024 | 109.86 Mn |
| Mar 27, 2024 | 106.47 Mn |
| Dec 27, 2023 | 104.79 Mn |
| Sep 27, 2023 | 106.71 Mn |
| Jun 28, 2023 | 110.60 Mn |
| Mar 29, 2023 | 106.78 Mn |
| Dec 28, 2022 | 106.42 Mn |
| Sep 28, 2022 | 113.01 Mn |
| Jun 29, 2022 | 113.68 Mn |
| Mar 30, 2022 | 106.73 Mn |
| Dec 29, 2021 | 100.54 Mn |
| Sep 29, 2021 | 101.46 Mn |
API Access
El Pollo Loco Holdings Operating Expenses 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=operating-expenses&ticker=LOCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LOCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();