Portillo's (PTLO) Property, Plant & Equipment (Net) (2020 - 2026)
Portillo's (PTLO) reported Property, Plant & Equipment (Net) of $430.25 million for Q2 2026, up 11.8% from $384.88 million a year earlier and up 0.4% from the prior quarter.
Portillo's (PTLO) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Portillo's posted Property, Plant & Equipment (Net) of $420.26 million, up 17.1% from FY2024.
- Property, Plant & Equipment (Net) has increased for five consecutive years, with a five-year compound annual growth rate of 19.2% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $358.98 million in FY2024 (+21.4%), $295.79 million in FY2023 (+30.3%), $227.04 million in FY2022 (+19.0%) and $190.83 million in FY2021 (+9.2%).
- The Q2 2026 figure ranks as the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2020.
- Year over year, Property, Plant & Equipment (Net) has now increased in each of the last 16 quarters, with growth averaging 19.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Property, Plant & Equipment (Net) ranged from 9.2% (Q4 2021) to 30.3% (Q4 2023).
- Per Business Quant data, the three quarters before Q2 2026 came in at $428.55 million (Q1 2026), $420.26 million (Q4 2025) and $407.25 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 28.48 Bn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 6.99 Bn |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 2.87 Bn |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 1.61 Bn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 2.23 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 5.12 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.23 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 2.62 Bn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 1.89 Bn |
| 10 | Portillo's | 266.51 Mn | 213.89 Mn | - | 430.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 430.25 Mn |
| Mar 29, 2026 | 428.55 Mn |
| Dec 28, 2025 | 420.26 Mn |
| Sep 28, 2025 | 407.25 Mn |
| Jun 29, 2025 | 384.88 Mn |
| Mar 30, 2025 | 366.13 Mn |
| Dec 29, 2024 | 358.98 Mn |
| Sep 29, 2024 | 343.16 Mn |
| Jun 30, 2024 | 314.62 Mn |
| Mar 31, 2024 | 306.11 Mn |
| Dec 31, 2023 | 295.79 Mn |
| Sep 24, 2023 | 274.61 Mn |
| Jun 25, 2023 | 250.44 Mn |
| Mar 26, 2023 | 237.22 Mn |
| Dec 25, 2022 | 227.04 Mn |
| Sep 25, 2022 | 211.74 Mn |
| Jun 26, 2022 | 193.81 Mn |
| Mar 27, 2022 | 192.09 Mn |
| Dec 26, 2021 | 190.83 Mn |
| Sep 26, 2021 | 186.62 Mn |
Portillo's Property, Plant & Equipment (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=property-plant-and-equipment-net&ticker=PTLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-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=property-plant-and-equipment-net&ticker=PTLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();