Portillo's (PTLO) Capital Expenditures (2020 - 2026)
Portillo's' Capital Expenditures was $11.69 million in Q2 2026, down 16.7% from $14.04 million a year earlier and down 36.7% from the prior quarter.
Portillo's (PTLO) Capital Expenditures (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Portillo's' Capital Expenditures was $87.51 million through Jun 28, 2026, up 0.2% year-over-year; for FY2025, it came in at $90.44 million, up 2.5% from FY2024.
- Capital Expenditures has now increased for five consecutive years, with a five-year compound annual growth rate of 33.3% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $88.19 million in FY2024 (+0.3%), $87.92 million in FY2023 (+86.8%), $47.06 million in FY2022 (+30.1%) and $36.18 million in FY2021 (+68.7%).
- The Q2 2026 figure marks the lowest quarterly Capital Expenditures since Q2 2022.
- Compared with a year earlier, Capital Expenditures was higher in five of the last eight quarters, with growth averaging 0.5%.
- The best year-over-year quarter for Capital Expenditures over five years was Q1 2023 (growth of 222.0%); the worst was Q1 2022 (a decline of 42.7%).
- Per Business Quant data, PTLO's Capital Expenditures in the three quarters before Q2 2026 was $18.46 million (Q1 2026), $32.34 million (Q4 2025) and $25.02 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 831.00 Mn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 291.40 Mn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 217.27 Mn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 100.00 Mn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 51.00 Mn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 193.10 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 51.00 Mn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 127.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 98.68 Mn |
| 10 | Portillo's | 269.55 Mn | 216.92 Mn | - | 11.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 11.69 Mn |
| Mar 29, 2026 | 18.46 Mn |
| Dec 28, 2025 | 32.34 Mn |
| Sep 28, 2025 | 25.02 Mn |
| Jun 29, 2025 | 14.04 Mn |
| Mar 30, 2025 | 19.04 Mn |
| Dec 29, 2024 | 31.68 Mn |
| Sep 29, 2024 | 22.61 Mn |
| Jun 30, 2024 | 16.97 Mn |
| Mar 31, 2024 | 16.94 Mn |
| Dec 31, 2023 | 30.26 Mn |
| Sep 24, 2023 | 20.30 Mn |
| Jun 25, 2023 | 17.14 Mn |
| Mar 26, 2023 | 20.22 Mn |
| Dec 25, 2022 | 17.05 Mn |
| Sep 25, 2022 | 16.07 Mn |
| Jun 26, 2022 | 7.66 Mn |
| Mar 27, 2022 | 6.28 Mn |
| Dec 26, 2021 | 8.50 Mn |
| Sep 26, 2021 | 9.22 Mn |
Portillo's Capital Expenditures 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=capital-expenditures&ticker=PTLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=PTLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();