Portillo's (PTLO) Total Debt (2020 - 2026)
Portillo's (PTLO) reported Total Debt of $338.44 million for Q2 2026, up 6.8% from $317.01 million a year earlier but down 2.4% from the prior quarter.
Analysis
Portillo's (PTLO) Total Debt (2020 - 2026) Analysis & Trends
At the end of FY2025, Portillo's posted Total Debt of $334.23 million, up 7.2% from FY2024.
- Total Debt has a five-year compound annual growth rate of -6.6% (FY2020 to FY2025).
- By year, Total Debt came in at $311.67 million in FY2024 (+1.7%), $306.42 million in FY2023 (-3.8%), $318.58 million in FY2022 (-0.2%) and $319.15 million in FY2021 (-32.1%).
- Five-year quarterly Total Debt spans a low of $294.99 million in Q3 2023 and a high of $470.09 million in Q3 2021.
- Year over year, Total Debt has now increased in each of the last five quarters, with growth averaging 4.6% over the last eight quarters.
- The high point for year-over-year Total Debt in five years was Q1 2026 (growth of 8.4%); the low point was Q3 2022 (a decline of 32.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $346.84 million (Q1 2026), $334.23 million (Q4 2025) and $322.62 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 39.86 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 13.28 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 12.28 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 13.29 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 693.60 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 13.29 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 66.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 50.00 Mn |
| 10 | Portillo's | 268.03 Mn | 215.40 Mn | - | 338.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 338.44 Mn |
| Mar 29, 2026 | 346.84 Mn |
| Dec 28, 2025 | 334.23 Mn |
| Sep 28, 2025 | 322.62 Mn |
| Jun 29, 2025 | 317.01 Mn |
| Mar 30, 2025 | 319.84 Mn |
| Dec 29, 2024 | 311.67 Mn |
| Sep 29, 2024 | 302.24 Mn |
| Jun 30, 2024 | 305.05 Mn |
| Mar 31, 2024 | 321.74 Mn |
| Dec 31, 2023 | 306.42 Mn |
| Sep 24, 2023 | 294.99 Mn |
| Jun 25, 2023 | 306.67 Mn |
| Mar 26, 2023 | 306.48 Mn |
| Dec 25, 2022 | 318.58 Mn |
| Sep 25, 2022 | 318.61 Mn |
| Jun 26, 2022 | 318.73 Mn |
| Mar 27, 2022 | 318.94 Mn |
| Dec 26, 2021 | 319.15 Mn |
| Sep 26, 2021 | 470.09 Mn |
API Access
Portillo's Total Debt 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-debt&ticker=PTLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=PTLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();