El Pollo Loco Holdings (LOCO) Total Current Liabilities (2013 - 2026)
El Pollo Loco Holdings' Total Current Liabilities came in at $84.54 million for Q2 2026, up 10.1% from $76.78 million a year earlier and up 11.8% from the prior quarter.
El Pollo Loco Holdings (LOCO) Total Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, El Pollo Loco Holdings' Total Current Liabilities was $79.08 million, up 4.5% from FY2024.
- Total Current Liabilities has increased in each of the last three years, with a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $75.66 million in FY2024 (+4.2%), $72.58 million in FY2023 (+5.9%), $68.51 million in FY2022 (-8.1%) and $74.58 million in FY2021 (+12.3%).
- The Q2 2026 figure represents the highest quarterly Total Current Liabilities since Q1 2019.
- Year-over-year, Total Current Liabilities has increased for three consecutive quarters, with growth averaging 2.9% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q1 2024 (growth of 17.4%), and the weakest in Q1 2023 (a decline of 9.8%).
- Business Quant data shows LOCO's Total Current Liabilities at $75.6 million (Q1 2026), $79.08 million (Q4 2025) and $69.85 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 4.02 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 9.92 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 1.32 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 4.29 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 2.31 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 3.01 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.31 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 2.44 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 790.79 Mn |
| 10 | El Pollo Loco Holdings | 439.56 Mn | 405.23 Mn | 42.50 Mn | 84.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 1, 2026 | 84.54 Mn |
| Apr 1, 2026 | 75.60 Mn |
| Dec 31, 2025 | 79.08 Mn |
| Sep 24, 2025 | 69.85 Mn |
| Jun 25, 2025 | 76.78 Mn |
| Mar 26, 2025 | 74.80 Mn |
| Dec 25, 2024 | 75.66 Mn |
| Sep 25, 2024 | 75.59 Mn |
| Jun 26, 2024 | 74.89 Mn |
| Mar 27, 2024 | 75.22 Mn |
| Dec 27, 2023 | 72.58 Mn |
| Sep 27, 2023 | 69.60 Mn |
| Jun 28, 2023 | 73.74 Mn |
| Mar 29, 2023 | 64.09 Mn |
| Dec 28, 2022 | 68.51 Mn |
| Sep 28, 2022 | 70.27 Mn |
| Jun 29, 2022 | 70.13 Mn |
| Mar 30, 2022 | 71.02 Mn |
| Dec 29, 2021 | 74.58 Mn |
| Sep 29, 2021 | 69.71 Mn |
El Pollo Loco Holdings Total Current Liabilities 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=total-current-liabilities&ticker=LOCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=LOCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();