Portillo's (PTLO) Long-Term Debt Repayments (2020 - 2026)
Portillo's (PTLO) posted Long-Term Debt Repayments of $1.56 million for Q2 2026, up 0.1% from the prior quarter.
Portillo's (PTLO) Long-Term Debt Repayments (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Long-Term Debt Repayments at Portillo's was $6.25 million, down 84.6% year-over-year; for FY2025, it came in at $41.88 million, up 644.4% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 25.7% (FY2020 to FY2025).
- In prior years, Portillo's' Long-Term Debt Repayments was $5.63 million in FY2024 (-98.3%), $328.05 million in FY2023, $3.32 million in FY2022 (-97.9%) and $158.32 million in FY2021.
- Quarterly Long-Term Debt Repayments has run from a low of $831,000 in Q3 2021 to a high of $322.43 million in Q1 2023 over five years.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q4 2023, with growth of 351.3%; the weakest was Q4 2022, with a decline of 99.5%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $1.56 million (Q1 2026), $1.56 million (Q4 2025) and $1.56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 176.63 Bn | 171.45 Bn | 6.42 Bn | 580.00 Mn |
| 2 | Starbucks | 114.85 Bn | 102.48 Bn | - | 1.82 Bn |
| 3 | Yum Brands | 41.92 Bn | 38.81 Bn | 1.47 Bn | 6.00 Mn |
| 4 | Chipotle Mexican Grill | 36.12 Bn | 32.10 Bn | - | - |
| 5 | Restaurant Brands International | 26.28 Bn | 21.83 Bn | 1.38 Bn | 29.00 Mn |
| 6 | Darden Restaurants | 24.56 Bn | 23.65 Bn | 1.68 Bn | 5.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 29.00 Mn |
| 8 | Yum China Holdings | 15.55 Bn | 9.21 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 11.04 Bn | 10.38 Bn | - | - |
| 10 | Portillo's | 317.75 Mn | 235.31 Mn | - | 1.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.56 Mn |
| Mar 29, 2026 | 1.56 Mn |
| Dec 28, 2025 | 1.56 Mn |
| Sep 28, 2025 | 1.56 Mn |
| Mar 30, 2025 | 38.75 Mn |
| Dec 29, 2024 | 1.88 Mn |
| Jun 30, 2024 | 1.88 Mn |
| Mar 31, 2024 | 1.88 Mn |
| Dec 31, 2023 | 3.75 Mn |
| Sep 24, 2023 | 1.88 Mn |
| Mar 26, 2023 | 322.43 Mn |
| Dec 25, 2022 | 831,000.00 |
| Sep 25, 2022 | 831,000.00 |
| Jun 26, 2022 | 831,000.00 |
| Mar 27, 2022 | 831,000.00 |
| Dec 26, 2021 | 155.83 Mn |
| Sep 26, 2021 | 831,000.00 |
| Jun 27, 2021 | 831,000.00 |
| Mar 28, 2021 | 831,000.00 |
| Dec 27, 2020 | 831,000.00 |
Portillo's Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=PTLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=PTLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();