Portillo's (PTLO) Operating Expenses (2020 - 2026)
Portillo's (PTLO) posted Operating Expenses of $155.71 million for Q2 2026, up 8.1% from $143.98 million a year earlier and up 5.4% from the prior quarter.
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Analysis
Portillo's (PTLO) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Operating Expenses at Portillo's was $593.39 million, up 6.1% year-over-year; for FY2025, it came in at $573.66 million, up 5.8% from FY2024.
- Annual Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 11.5% (FY2020 to FY2025).
- In prior years, Portillo's' Operating Expenses was $542.44 million in FY2024 (+5.4%), $514.73 million in FY2023 (+13.2%), $454.6 million in FY2022 (+15.7%) and $392.87 million in FY2021 (+17.8%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q3 2020.
- On a year-over-year basis, Operating Expenses has increased in each of the last six quarters, with growth averaging 5.5% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2021, with growth of 23.8%; the weakest was Q4 2024, with a decline of 1.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $147.78 million (Q1 2026), $145.17 million (Q4 2025) and $144.74 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 172.85 Bn | 167.67 Bn | 6.42 Bn | 3.76 Bn |
| 2 | Starbucks | 112.31 Bn | 99.94 Bn | - | 8.42 Bn |
| 3 | Yum Brands | 41.25 Bn | 38.14 Bn | 1.47 Bn | 1.51 Bn |
| 4 | Chipotle Mexican Grill | 36.15 Bn | 32.13 Bn | - | 2.82 Bn |
| 5 | Restaurant Brands International | 25.94 Bn | 21.50 Bn | 1.38 Bn | 1.80 Bn |
| 6 | Darden Restaurants | 24.36 Bn | 23.46 Bn | 1.68 Bn | 2.88 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.80 Bn |
| 8 | Yum China Holdings | 15.37 Bn | 9.03 Bn | 537.00 Mn | 2.79 Bn |
| 9 | Texas Roadhouse | 10.96 Bn | 10.30 Bn | - | 1.54 Bn |
| 10 | Portillo's | 320.28 Mn | 237.84 Mn | - | 155.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 155.71 Mn |
| Mar 29, 2026 | 147.78 Mn |
| Dec 28, 2025 | 145.17 Mn |
| Sep 28, 2025 | 144.74 Mn |
| Jun 29, 2025 | 143.98 Mn |
| Mar 30, 2025 | 139.78 Mn |
| Dec 29, 2024 | 139.38 Mn |
| Sep 29, 2024 | 136.31 Mn |
| Jun 30, 2024 | 137.29 Mn |
| Mar 31, 2024 | 129.46 Mn |
| Dec 31, 2023 | 142.12 Mn |
| Sep 24, 2023 | 124.92 Mn |
| Jun 25, 2023 | 126.45 Mn |
| Mar 26, 2023 | 121.24 Mn |
| Dec 25, 2022 | 118.83 Mn |
| Sep 25, 2022 | 117.03 Mn |
| Jun 26, 2022 | 112.24 Mn |
| Mar 27, 2022 | 106.50 Mn |
| Dec 26, 2021 | 103.90 Mn |
| Sep 26, 2021 | 103.76 Mn |
API Access
Portillo's Operating Expenses 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=operating-expenses&ticker=PTLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PTLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();