Portillo's (PTLO) Cash from Operations (2020 - 2026)
Portillo's (PTLO) reported Cash from Operations of $17.57 million for Q2 2026, down 8.7% from $19.24 million a year earlier but up 0.1% from the prior quarter.
Portillo's (PTLO) Cash from Operations (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Portillo's' Cash from Operations came in at $78.35 million, down 7.9% year-over-year; for FY2025, it came in at $71.91 million, down 26.7% from FY2024.
- Cash from Operations has a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- By year, Cash from Operations came in at $98.04 million in FY2024 (+38.5%), $70.78 million in FY2023 (+24.4%), $56.89 million in FY2022 (+32.7%) and $42.87 million in FY2021 (-26.4%).
- Five-year quarterly Cash from Operations spans a low of $800,000 in Q1 2022 and a high of $32.55 million in Q2 2024.
- Year over year, Cash from Operations gained in four of the last eight quarters, with growth averaging 10.4%.
- The high point for year-over-year Cash from Operations in five years was Q1 2023 (growth of 710.8%); the low point was Q4 2021 (a decline of 85.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $17.55 million (Q1 2026), $23.17 million (Q4 2025) and $20.05 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 2.81 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 1.64 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 680.65 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 507.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 530.00 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 572.10 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 530.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 426.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 180.15 Mn |
| 10 | Portillo's | 268.03 Mn | 215.40 Mn | - | 17.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 17.57 Mn |
| Mar 29, 2026 | 17.55 Mn |
| Dec 28, 2025 | 23.17 Mn |
| Sep 28, 2025 | 20.05 Mn |
| Jun 29, 2025 | 19.24 Mn |
| Mar 30, 2025 | 9.45 Mn |
| Dec 29, 2024 | 26.09 Mn |
| Sep 29, 2024 | 30.33 Mn |
| Jun 30, 2024 | 32.55 Mn |
| Mar 31, 2024 | 9.08 Mn |
| Dec 31, 2023 | 17.21 Mn |
| Sep 24, 2023 | 22.26 Mn |
| Jun 25, 2023 | 24.82 Mn |
| Mar 26, 2023 | 6.49 Mn |
| Dec 25, 2022 | 17.92 Mn |
| Sep 25, 2022 | 13.61 Mn |
| Jun 26, 2022 | 24.56 Mn |
| Mar 27, 2022 | 800,000.00 |
| Dec 26, 2021 | 2.98 Mn |
| Sep 26, 2021 | 7.07 Mn |
Portillo's Cash from Operations 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-from-operations&ticker=PTLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=PTLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();