Portillo's (PTLO) Total Current Liabilities (2020 - 2026)
Portillo's (PTLO) reported Total Current Liabilities of $188.82 million for Q2 2026, up 10.2% from $171.27 million a year earlier but down 5.6% from the prior quarter.
Portillo's (PTLO) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Portillo's posted Total Current Liabilities of $193.96 million, up 43.1% from FY2024.
- Total Current Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 23.9% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $135.57 million in FY2024 (+29.2%), $104.91 million in FY2023 (+35.7%), $77.3 million in FY2022 (+15.5%) and $66.94 million in FY2021 (+0.9%).
- Five-year quarterly Total Current Liabilities spans a low of $51.82 million in Q1 2022 and a high of $199.93 million in Q1 2026.
- Year over year, Total Current Liabilities has now increased in each of the last 15 quarters, with growth averaging 36.3% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q2 2023 (growth of 66.5%); the low point was Q3 2022 (a decline of 6.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $199.93 million (Q1 2026), $193.96 million (Q4 2025) and $187.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.41 Bn | 169.23 Bn | 6.42 Bn | 4.02 Bn |
| 2 | Starbucks | 112.93 Bn | 100.55 Bn | - | 9.92 Bn |
| 3 | Yum Brands | 41.62 Bn | 38.50 Bn | 1.47 Bn | 4.29 Bn |
| 4 | Chipotle Mexican Grill | 35.98 Bn | 31.96 Bn | - | 1.32 Bn |
| 5 | Restaurant Brands International | 25.83 Bn | 21.38 Bn | 1.38 Bn | 2.31 Bn |
| 6 | Darden Restaurants | 24.40 Bn | 23.49 Bn | 1.68 Bn | 3.20 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.31 Bn |
| 8 | Yum China Holdings | 15.50 Bn | 9.16 Bn | 537.00 Mn | 2.44 Bn |
| 9 | Texas Roadhouse | 11.02 Bn | 10.36 Bn | - | 790.79 Mn |
| 10 | Portillo's | 312.75 Mn | 230.31 Mn | - | 188.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 188.82 Mn |
| Mar 29, 2026 | 199.93 Mn |
| Dec 28, 2025 | 193.96 Mn |
| Sep 28, 2025 | 187.30 Mn |
| Jun 29, 2025 | 171.27 Mn |
| Mar 30, 2025 | 165.91 Mn |
| Dec 29, 2024 | 135.57 Mn |
| Sep 29, 2024 | 124.29 Mn |
| Jun 30, 2024 | 109.27 Mn |
| Mar 31, 2024 | 116.88 Mn |
| Dec 31, 2023 | 104.91 Mn |
| Sep 24, 2023 | 90.01 Mn |
| Jun 25, 2023 | 89.03 Mn |
| Mar 26, 2023 | 83.74 Mn |
| Dec 25, 2022 | 77.30 Mn |
| Sep 25, 2022 | 58.06 Mn |
| Jun 26, 2022 | 53.48 Mn |
| Mar 27, 2022 | 51.82 Mn |
| Dec 26, 2021 | 66.94 Mn |
| Sep 26, 2021 | 62.27 Mn |
Portillo's Total 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-current-liabilities&ticker=PTLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=PTLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();