Portillo's Inc. (PTLO) Receivables - Net (2020 - 2026)
Portillo's' Receivables - Net came in at $11.27 million for Q2 2026, down 36.2% from $17.67 million a year earlier and down 14.2% from the prior quarter.
Analysis
Portillo's Inc. (PTLO) Receivables - Net (2020 - 2026) Analysis & Trends
At the end of FY2025, Portillo's' Receivables - Net was $16.5 million, up 11.5% from FY2024.
- Receivables - Net has increased in each of the last five years, with a five-year compound annual growth rate of 26.0% (FY2020 to FY2025).
- Going back by year, Receivables - Net was $14.79 million in FY2024 (+4.3%), $14.18 million in FY2023 (+65.1%), $8.59 million in FY2022 (+9.6%) and $7.84 million in FY2021 (+50.7%).
- The Q2 2026 figure represents the lowest quarterly Receivables - Net since Q1 2023.
- Year-over-year, Receivables - Net increased in four of the last eight quarters, with growth averaging 1.5%.
- The fastest year-over-year change in Receivables - Net over five years came in Q1 2023 (growth of 87.5%), and the weakest in Q2 2026 (a decline of 36.2%).
- Business Quant data shows PTLO's Receivables - Net at $13.14 million (Q1 2026), $16.5 million (Q4 2025) and $18.85 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
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 | 10.13 Mn |
| Dec 25, 2022 | 8.59 Mn |
| Sep 25, 2022 | 8.11 Mn |
| Jun 26, 2022 | 8.83 Mn |
| Mar 27, 2022 | 5.40 Mn |
| Dec 26, 2021 | 7.84 Mn |
| Sep 26, 2021 | 5.73 Mn |
API Access
Portillo's Inc. Receivables - Net 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-net&ticker=PTLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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-net&ticker=PTLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();