Portillo's (PTLO) Total Liabilities (2020 - 2026)
Portillo's (PTLO) posted Total Liabilities of $1.11 billion for Q2 2026, up 4.6% from $1.07 billion a year earlier but down 0.3% from the prior quarter.
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Analysis
Portillo's (PTLO) Total Liabilities (2020 - 2026) Analysis & Trends
Since Q4 2020, Portillo's has reported Total Liabilities for 21 quarters.
- Annual Total Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- In prior years, Portillo's' Total Liabilities was $1.01 billion in FY2024 (+9.1%), $925.43 million in FY2023 (+9.2%), $847.18 million in FY2022 (+47.0%) and $576.17 million in FY2021 (-25.1%).
- Quarterly Total Liabilities has run from a low of $561.56 million in Q1 2022 to a high of $1.12 billion in Q1 2026 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last 15 quarters, with growth averaging 8.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2023, with growth of 58.7%; the weakest was Q4 2021, with a decline of 25.1%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $1.12 billion (Q1 2026), $1.11 billion (Q4 2025) and $1.1 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.50 Bn | 169.32 Bn | 6.42 Bn | 60.94 Bn |
| 2 | Starbucks | 113.12 Bn | 100.74 Bn | - | 35.97 Bn |
| 3 | Yum Brands | 41.68 Bn | 38.56 Bn | 1.47 Bn | 15.79 Bn |
| 4 | Chipotle Mexican Grill | 37.78 Bn | 33.76 Bn | - | 6.66 Bn |
| 5 | Restaurant Brands International | 26.16 Bn | 21.71 Bn | 1.38 Bn | 19.63 Bn |
| 6 | Darden Restaurants | 24.73 Bn | 23.83 Bn | 1.68 Bn | 11.16 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 19.63 Bn |
| 8 | Yum China Holdings | 15.70 Bn | 9.35 Bn | 537.00 Mn | 4.81 Bn |
| 9 | Texas Roadhouse | 11.11 Bn | 10.45 Bn | - | 2.09 Bn |
| 10 | Portillo's | 328.24 Mn | 245.80 Mn | - | 1.11 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.11 Bn |
| Mar 29, 2026 | 1.12 Bn |
| Dec 28, 2025 | 1.11 Bn |
| Sep 28, 2025 | 1.10 Bn |
| Jun 29, 2025 | 1.07 Bn |
| Mar 30, 2025 | 1.00 Bn |
| Dec 29, 2024 | 1.01 Bn |
| Sep 29, 2024 | 993.83 Mn |
| Jun 30, 2024 | 974.80 Mn |
| Mar 31, 2024 | 964.55 Mn |
| Dec 31, 2023 | 925.43 Mn |
| Sep 24, 2023 | 910.11 Mn |
| Jun 25, 2023 | 895.03 Mn |
| Mar 26, 2023 | 878.72 Mn |
| Dec 25, 2022 | 847.18 Mn |
| Sep 25, 2022 | 619.95 Mn |
| Jun 26, 2022 | 564.08 Mn |
| Mar 27, 2022 | 561.56 Mn |
| Dec 26, 2021 | 576.17 Mn |
| Sep 26, 2021 | 784.29 Mn |
API Access
Portillo's Total 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-liabilities&ticker=PTLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "PTLO", "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-liabilities&ticker=PTLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();