Portillo's (PTLO) Selling, General & Administrative (2020 - 2026)
Portillo's' Selling, General & Administrative was $19.56 million in Q2 2026, up 4.1% from $18.8 million a year earlier but down 3.9% from the prior quarter.
Portillo's (PTLO) Selling, General & Administrative (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Portillo's' Selling, General & Administrative was $79.36 million through Jun 28, 2026, up 4.0% year-over-year; for FY2025, it was $77.14 million, up 2.7% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $75.09 million in FY2024 (-4.8%), $78.84 million in FY2023 (+17.9%), $66.89 million in FY2022 (-23.2%) and $87.09 million in FY2021 (+118.5%).
- Quarterly Selling, General & Administrative has moved between $11.75 million (Q3 2021) and $51.33 million (Q4 2021) over five years.
- Compared with a year earlier, Selling, General & Administrative was higher in five of the last eight quarters, with growth averaging 1.8%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2021 (growth of 330.1%); the worst was Q4 2022 (a decline of 65.5%).
- Per Business Quant data, PTLO's Selling, General & Administrative in the three quarters before Q2 2026 was $20.36 million (Q1 2026), $19.41 million (Q4 2025) and $20.03 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.07 Bn | 158.89 Bn | 6.42 Bn | 817.00 Mn |
| 2 | Starbucks | 108.16 Bn | 95.79 Bn | - | 598.80 Mn |
| 3 | Chipotle Mexican Grill | 40.91 Bn | 36.89 Bn | - | 190.47 Mn |
| 4 | Yum Brands | 37.32 Bn | 34.20 Bn | 1.47 Bn | 324.00 Mn |
| 5 | Restaurant Brands International | 24.36 Bn | 21.46 Bn | 1.38 Bn | 181.00 Mn |
| 6 | Darden Restaurants | 22.52 Bn | 21.62 Bn | -113.70 Mn | 139.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 181.00 Mn |
| 8 | Yum China Holdings | 14.14 Bn | 8.50 Bn | 537.00 Mn | 139.00 Mn |
| 9 | Texas Roadhouse | 10.28 Bn | 9.64 Bn | - | 72.41 Mn |
| 10 | Portillo's | 268.03 Mn | 215.40 Mn | - | 19.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 19.56 Mn |
| Mar 29, 2026 | 20.36 Mn |
| Dec 28, 2025 | 19.41 Mn |
| Sep 28, 2025 | 20.03 Mn |
| Jun 29, 2025 | 18.80 Mn |
| Mar 30, 2025 | 18.90 Mn |
| Dec 29, 2024 | 20.30 Mn |
| Sep 29, 2024 | 18.31 Mn |
| Jun 30, 2024 | 17.94 Mn |
| Mar 31, 2024 | 18.54 Mn |
| Dec 31, 2023 | 21.55 Mn |
| Sep 24, 2023 | 18.90 Mn |
| Jun 25, 2023 | 19.61 Mn |
| Mar 26, 2023 | 18.78 Mn |
| Dec 25, 2022 | 17.71 Mn |
| Sep 25, 2022 | 18.06 Mn |
| Jun 26, 2022 | 15.44 Mn |
| Mar 27, 2022 | 15.69 Mn |
| Dec 26, 2021 | 51.33 Mn |
| Sep 26, 2021 | 11.75 Mn |
Portillo's Selling, General & Administrative 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=selling-general-and-administrative&ticker=PTLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=PTLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();