El Pollo Loco Holdings (LOCO) EBITDA (2013 - 2026)
El Pollo Loco Holdings (LOCO) reported EBITDA of $22.88 million for Q2 2026, up 50.2% from $15.23 million a year earlier and up 38.4% from the prior quarter.
El Pollo Loco Holdings (LOCO) EBITDA (2013 - 2026) Analysis & Trends
Over the twelve months ended Jul 1, 2026, El Pollo Loco Holdings' EBITDA came in at $69.38 million, up 25.6% year-over-year; for FY2025, it came in at $58.05 million, up 2.0% from FY2024.
- EBITDA has increased for three consecutive years, with a five-year compound annual growth rate of 2.9% (FY2020 to FY2025).
- By year, EBITDA came in at $56.89 million in FY2024 (+3.4%), $55.03 million in FY2023 (+23.6%), $44.54 million in FY2022 (-21.2%) and $56.51 million in FY2021 (+12.0%).
- The Q2 2026 figure ranks as the highest quarterly EBITDA since Q2 2019.
- Year over year, EBITDA has now increased in each of the last four quarters, with growth averaging 10.3% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q3 2023 (growth of 69.7%); the low point was Q3 2022 (a decline of 42.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $16.53 million (Q1 2026), $14.51 million (Q4 2025) and $15.46 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 3.90 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 1.37 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 623.92 Mn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 715.00 Mn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 793.00 Mn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 663.10 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 793.00 Mn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 468.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 201.13 Mn |
| 10 | El Pollo Loco Holdings | 439.56 Mn | 405.23 Mn | 42.50 Mn | 22.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 1, 2026 | 22.88 Mn |
| Apr 1, 2026 | 16.53 Mn |
| Dec 31, 2025 | 14.51 Mn |
| Sep 24, 2025 | 15.46 Mn |
| Jun 25, 2025 | 15.23 Mn |
| Mar 26, 2025 | 12.87 Mn |
| Dec 25, 2024 | 12.95 Mn |
| Sep 25, 2024 | 14.17 Mn |
| Jun 26, 2024 | 16.22 Mn |
| Mar 27, 2024 | 13.58 Mn |
| Dec 27, 2023 | 11.40 Mn |
| Sep 27, 2023 | 17.64 Mn |
| Jun 28, 2023 | 14.59 Mn |
| Mar 29, 2023 | 11.39 Mn |
| Dec 28, 2022 | 13.18 Mn |
| Sep 28, 2022 | 10.39 Mn |
| Jun 29, 2022 | 14.05 Mn |
| Mar 30, 2022 | 6.92 Mn |
| Dec 29, 2021 | 12.05 Mn |
| Sep 29, 2021 | 17.93 Mn |
El Pollo Loco Holdings EBITDA 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=ebitda&ticker=LOCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LOCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();