Portillo's (PTLO) Cash & Equivalents (2020 - 2026)
Portillo's' Cash & Equivalents came in at $21.25 million for Q2 2026, up 27.9% from $16.62 million a year earlier but down 11.4% from the prior quarter.
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Analysis
Portillo's (PTLO) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Portillo's' Cash & Equivalents was $19.96 million, down 12.7% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -13.6% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $22.88 million in FY2024 (+119.2%), $10.44 million in FY2023 (-76.5%), $44.43 million in FY2022 (+13.2%) and $39.26 million in FY2021 (-5.2%).
- The five-year range for quarterly Cash & Equivalents is $10.44 million (Q4 2023) to $49.73 million (Q2 2022).
- Year-over-year, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 36.1%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q4 2024 (growth of 119.2%), and the weakest in Q4 2023 (a decline of 76.5%).
- Business Quant data shows PTLO's Cash & Equivalents at $23.99 million (Q1 2026), $19.96 million (Q4 2025) and $17.23 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.07 Bn | 158.89 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 108.16 Bn | 95.79 Bn | - | 3.45 Bn |
| 3 | Chipotle Mexican Grill | 40.91 Bn | 36.89 Bn | - | 228.20 Mn |
| 4 | Yum Brands | 37.32 Bn | 34.20 Bn | 1.47 Bn | 674.00 Mn |
| 5 | Restaurant Brands International | 24.36 Bn | 21.46 Bn | 1.38 Bn | 1.06 Bn |
| 6 | Darden Restaurants | 22.52 Bn | 21.62 Bn | -113.70 Mn | 219.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.06 Bn |
| 8 | Yum China Holdings | 14.14 Bn | 8.50 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 10.28 Bn | 9.64 Bn | - | 202.43 Mn |
| 10 | Portillo's | 268.03 Mn | 215.40 Mn | - | 21.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 21.25 Mn |
| Mar 29, 2026 | 23.99 Mn |
| Dec 28, 2025 | 19.96 Mn |
| Sep 28, 2025 | 17.23 Mn |
| Jun 29, 2025 | 16.62 Mn |
| Mar 30, 2025 | 12.94 Mn |
| Dec 29, 2024 | 22.88 Mn |
| Sep 29, 2024 | 18.52 Mn |
| Jun 30, 2024 | 12.36 Mn |
| Mar 31, 2024 | 13.18 Mn |
| Dec 31, 2023 | 10.44 Mn |
| Sep 24, 2023 | 12.95 Mn |
| Jun 25, 2023 | 22.46 Mn |
| Mar 26, 2023 | 14.61 Mn |
| Dec 25, 2022 | 44.43 Mn |
| Sep 25, 2022 | 46.72 Mn |
| Jun 26, 2022 | 49.73 Mn |
| Mar 27, 2022 | 32.18 Mn |
| Dec 26, 2021 | 39.26 Mn |
| Sep 26, 2021 | 49.56 Mn |
API Access
Portillo's Cash & Equivalents 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=cash-and-equivalents&ticker=PTLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PTLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();