El Pollo Loco Holdings (LOCO) Other Accumulated Expenses (2013 - 2026)
El Pollo Loco Holdings' Other Accumulated Expenses was $47.27 million in Q2 2026, up 217.4% from $14.89 million a year earlier but down 4.5% from the prior quarter.
El Pollo Loco Holdings (LOCO) Other Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2025, Other Accumulated Expenses at El Pollo Loco Holdings came in at $45.65 million, up 187.2% from FY2024.
- Other Accumulated Expenses shows a five-year compound annual growth rate of 22.1% (FY2020 to FY2025).
- In earlier years, Other Accumulated Expenses was $15.9 million in FY2024 (-13.4%), $18.36 million in FY2023 (+21.4%), $15.12 million in FY2022 (-23.3%) and $19.71 million in FY2021 (+17.3%).
- Quarterly Other Accumulated Expenses has moved between $11.48 million (Q2 2023) and $49.51 million (Q1 2026) over five years.
- Compared with a year earlier, Other Accumulated Expenses has increased for three straight quarters, with growth averaging 74.7% over the last eight quarters.
- The best year-over-year quarter for Other Accumulated Expenses over five years was Q1 2026 (growth of 220.5%); the worst was Q2 2023 (a decline of 39.6%).
- Per Business Quant data, LOCO's Other Accumulated Expenses in the three quarters before Q2 2026 was $49.51 million (Q1 2026), $45.65 million (Q4 2025) and $18.93 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - |
| 10 | El Pollo Loco Holdings | 432.86 Mn | 398.53 Mn | 42.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 1, 2026 | 47.27 Mn |
| Apr 1, 2026 | 49.51 Mn |
| Dec 31, 2025 | 45.65 Mn |
| Sep 24, 2025 | 18.93 Mn |
| Jun 25, 2025 | 14.89 Mn |
| Mar 26, 2025 | 15.45 Mn |
| Dec 25, 2024 | 15.90 Mn |
| Sep 25, 2024 | 23.28 Mn |
| Jun 26, 2024 | 18.85 Mn |
| Mar 27, 2024 | 21.98 Mn |
| Dec 27, 2023 | 18.36 Mn |
| Sep 27, 2023 | 14.98 Mn |
| Jun 28, 2023 | 11.48 Mn |
| Mar 29, 2023 | 13.25 Mn |
| Dec 28, 2022 | 15.12 Mn |
| Sep 28, 2022 | 18.93 Mn |
| Jun 29, 2022 | 19.02 Mn |
| Mar 30, 2022 | 19.51 Mn |
| Dec 29, 2021 | 19.71 Mn |
| Sep 29, 2021 | 20.55 Mn |
El Pollo Loco Holdings Other Accumulated 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=other-accumulated-expenses&ticker=LOCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=LOCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();