Portillo's (PTLO) Other Non-Current Liabilities (2020 - 2026)
Portillo's' Other Non-Current Liabilities was $343.4 million in Q2 2026, down 2.7% from $352.9 million a year earlier and down 0.2% from the prior quarter.
Portillo's (PTLO) Other Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Liabilities at Portillo's came in at $344.52 million, up 8.7% from FY2024.
- Other Non-Current Liabilities has now increased for five consecutive years, with a five-year compound annual growth rate of 66.8% (FY2020 to FY2025).
- In earlier years, Other Non-Current Liabilities was $316.89 million in FY2024 (+7.3%), $295.39 million in FY2023 (+17.2%), $252 million in FY2022 (+60.9%) and $156.64 million in FY2021 (+486.8%).
- The Q2 2026 figure marks the lowest quarterly Other Non-Current Liabilities since Q1 2025.
- Compared with a year earlier, Other Non-Current Liabilities was higher in six of the last eight quarters, with growth averaging 5.3%.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was Q3 2022 (growth of 565.6%); the worst was Q1 2025 (a decline of 3.7%).
- Per Business Quant data, PTLO's Other Non-Current Liabilities in the three quarters before Q2 2026 was $344.2 million (Q1 2026), $344.52 million (Q4 2025) and $353.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - |
| 10 | Portillo's | 268.03 Mn | 215.40 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 343.40 Mn |
| Mar 29, 2026 | 344.20 Mn |
| Dec 28, 2025 | 344.52 Mn |
| Sep 28, 2025 | 353.20 Mn |
| Jun 29, 2025 | 352.90 Mn |
| Mar 30, 2025 | 316.20 Mn |
| Dec 29, 2024 | 316.89 Mn |
| Sep 29, 2024 | 326.70 Mn |
| Jun 30, 2024 | 328.10 Mn |
| Mar 31, 2024 | 328.50 Mn |
| Dec 31, 2023 | 295.39 Mn |
| Sep 24, 2023 | 301.50 Mn |
| Jun 25, 2023 | 302.00 Mn |
| Mar 26, 2023 | 298.80 Mn |
| Dec 25, 2022 | 252.00 Mn |
| Sep 25, 2022 | 205.30 Mn |
| Jun 26, 2022 | 154.88 Mn |
| Mar 27, 2022 | 156.64 Mn |
| Dec 26, 2021 | 156.64 Mn |
| Sep 26, 2021 | 30.84 Mn |
Portillo's Other 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=other-non-current-liabilities&ticker=PTLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=PTLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();