Portillo's (PTLO) Total Non-Current Liabilities (2020 - 2026)
Portillo's' Total Non-Current Liabilities came in at $925.75 million for Q2 2026, up 3.5% from $894.67 million a year earlier and up 0.9% from the prior quarter.
Portillo's (PTLO) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Portillo's' Total Non-Current Liabilities was $915.31 million, up 4.7% from FY2024.
- Total Non-Current Liabilities has increased in each of the last five years, with a five-year compound annual growth rate of 12.7% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $874.41 million in FY2024 (+6.6%), $820.52 million in FY2023 (+6.6%), $769.89 million in FY2022 (+51.2%) and $509.23 million in FY2021 (+1.3%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q4 2020.
- Year-over-year, Total Non-Current Liabilities has increased for five consecutive quarters, with growth averaging 4.7% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2023 (growth of 57.9%), and the weakest in Q1 2025 (a decline of 1.1%).
- Business Quant data shows PTLO's Total Non-Current Liabilities at $917.65 million (Q1 2026), $915.31 million (Q4 2025) and $914.84 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 173.63 Bn | 168.45 Bn | 6.42 Bn | 60.09 Bn |
| 2 | Starbucks | 112.32 Bn | 99.94 Bn | - | - |
| 3 | Yum Brands | 41.24 Bn | 38.12 Bn | 1.47 Bn | 13.75 Bn |
| 4 | Chipotle Mexican Grill | 35.98 Bn | 31.96 Bn | - | 6.58 Bn |
| 5 | Restaurant Brands International | 25.97 Bn | 21.52 Bn | 1.38 Bn | 18.73 Bn |
| 6 | Darden Restaurants | 24.36 Bn | 23.45 Bn | 1.68 Bn | 9.21 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 18.73 Bn |
| 8 | Yum China Holdings | 15.42 Bn | 9.08 Bn | 537.00 Mn | 4.65 Bn |
| 9 | Texas Roadhouse | 10.97 Bn | 10.31 Bn | - | 1.88 Bn |
| 10 | Portillo's | 315.94 Mn | 233.50 Mn | - | 925.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 925.75 Mn |
| Mar 29, 2026 | 917.65 Mn |
| Dec 28, 2025 | 915.31 Mn |
| Sep 28, 2025 | 914.84 Mn |
| Jun 29, 2025 | 894.67 Mn |
| Mar 30, 2025 | 837.98 Mn |
| Dec 29, 2024 | 874.41 Mn |
| Sep 29, 2024 | 869.54 Mn |
| Jun 30, 2024 | 865.53 Mn |
| Mar 31, 2024 | 847.67 Mn |
| Dec 31, 2023 | 820.52 Mn |
| Sep 24, 2023 | 820.11 Mn |
| Jun 25, 2023 | 806.00 Mn |
| Mar 26, 2023 | 794.98 Mn |
| Dec 25, 2022 | 769.89 Mn |
| Sep 25, 2022 | 561.88 Mn |
| Jun 26, 2022 | 510.60 Mn |
| Mar 27, 2022 | 509.74 Mn |
| Dec 26, 2021 | 509.23 Mn |
| Sep 26, 2021 | 504.47 Mn |
Portillo's Total Non-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-non-current-liabilities&ticker=PTLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=PTLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();