Portillo's (PTLO) Other Operating Expenses (2020 - 2026)
Portillo's (PTLO) reported Other Operating Expenses of $23.34 million for Q2 2026, up 6.5% from $21.92 million a year earlier but down 3.2% from the prior quarter.
Powered by 
Analysis
Portillo's (PTLO) Other Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Portillo's' Other Operating Expenses came in at $93.38 million, up 7.4% year-over-year; for FY2025, it came in at $89.64 million, up 7.9% from FY2024.
- Other Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $83.04 million in FY2024 (+8.3%), $76.64 million in FY2023 (+17.3%), $65.31 million in FY2022 (+10.2%) and $59.26 million in FY2021 (+18.1%).
- Five-year quarterly Other Operating Expenses spans a low of $15.07 million in Q4 2021 and a high of $24.12 million in Q1 2026.
- Year over year, Other Operating Expenses has now increased in each of the last 20 quarters, with growth averaging 8.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Other Operating Expenses ranged from 1.9% (Q4 2025) to 24.1% (Q2 2023).
- Per Business Quant data, the three quarters before Q2 2026 came in at $24.12 million (Q1 2026), $22.6 million (Q4 2025) and $23.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - |
| 10 | Portillo's | 268.03 Mn | 215.40 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 23.34 Mn |
| Mar 29, 2026 | 24.12 Mn |
| Dec 28, 2025 | 22.60 Mn |
| Sep 28, 2025 | 23.33 Mn |
| Jun 29, 2025 | 21.92 Mn |
| Mar 30, 2025 | 21.79 Mn |
| Dec 29, 2024 | 22.17 Mn |
| Sep 29, 2024 | 21.05 Mn |
| Jun 30, 2024 | 19.96 Mn |
| Mar 31, 2024 | 19.86 Mn |
| Dec 31, 2023 | 20.53 Mn |
| Sep 24, 2023 | 18.57 Mn |
| Jun 25, 2023 | 18.83 Mn |
| Mar 26, 2023 | 18.70 Mn |
| Dec 25, 2022 | 18.09 Mn |
| Sep 25, 2022 | 16.88 Mn |
| Jun 26, 2022 | 15.18 Mn |
| Mar 27, 2022 | 15.17 Mn |
| Dec 26, 2021 | 15.07 Mn |
| Sep 26, 2021 | 15.55 Mn |
API Access
Portillo's Other 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=other-operating-expenses&ticker=PTLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=PTLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();