Portillo's (PTLO) Receivables (2020 - 2026)
Portillo's (PTLO) recorded Receivables of $11.27 million in Q2 2026, down 36.2% from $17.67 million a year earlier and down 14.2% from the prior quarter.
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Analysis
Portillo's (PTLO) Receivables (2020 - 2026) Analysis & Trends
At the end of FY2025, Portillo's reported Receivables of $16.5 million, up 11.5% from FY2024.
- Annual Receivables has increased for five straight years, with a five-year compound annual growth rate of 25.0% (FY2020 to FY2025).
- Across earlier years, Receivables came in at $14.79 million in FY2024 (+4.3%), $14.18 million in FY2023 (+59.5%), $8.89 million in FY2022 (+7.9%) and $8.24 million in FY2021 (+52.5%).
- The Q2 2026 figure is the lowest quarterly Receivables since Q1 2023.
- On a year-over-year basis, Receivables rose in four of the last eight quarters, with growth averaging 1.5%.
- Peak year-over-year performance for Receivables in the last five years was growth of 82.9% in Q1 2023, against a decline of 36.2% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $13.14 million (Q1 2026), $16.5 million (Q4 2025) and $18.85 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 2.49 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 1.30 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 100.31 Mn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 623.00 Mn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 800.00 Mn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 129.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 800.00 Mn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 115.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 74.14 Mn |
| 10 | Portillo's | 269.55 Mn | 216.92 Mn | - | 11.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 11.27 Mn |
| Mar 29, 2026 | 13.14 Mn |
| Dec 28, 2025 | 16.50 Mn |
| Sep 28, 2025 | 18.85 Mn |
| Jun 29, 2025 | 17.67 Mn |
| Mar 30, 2025 | 14.28 Mn |
| Dec 29, 2024 | 14.79 Mn |
| Sep 29, 2024 | 14.91 Mn |
| Jun 30, 2024 | 15.33 Mn |
| Mar 31, 2024 | 14.45 Mn |
| Dec 31, 2023 | 14.18 Mn |
| Sep 24, 2023 | 14.96 Mn |
| Jun 25, 2023 | 11.50 Mn |
| Mar 26, 2023 | 10.43 Mn |
| Dec 25, 2022 | 8.89 Mn |
| Sep 25, 2022 | 8.51 Mn |
| Jun 26, 2022 | 9.23 Mn |
| Mar 27, 2022 | 5.70 Mn |
| Dec 26, 2021 | 8.24 Mn |
| Sep 26, 2021 | 6.03 Mn |
API Access
Portillo's Receivables 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=receivables&ticker=PTLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=PTLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();