Portillo's (PTLO) Goodwill & Intangibles (2020 - 2026)
Portillo's' Goodwill & Intangibles was $616.02 million in Q2 2026, down 0.4% from $618.22 million a year earlier and unchanged from the prior quarter.
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Analysis
Portillo's (PTLO) Goodwill & Intangibles (2020 - 2026) Analysis & Trends
From Q4 2020 onward, Portillo's has reported Goodwill & Intangibles for 21 quarters.
- Goodwill & Intangibles shows a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- In earlier years, Goodwill & Intangibles was $618.22 million in FY2024 (unchanged), $618.22 million in FY2023 (unchanged), $618.22 million in FY2022 (unchanged) and $618.22 million in FY2021 (unchanged).
- Quarterly Goodwill & Intangibles has moved between $616.02 million (Q3 2025) and $654.84 million (Q3 2021) over five years.
- Compared with a year earlier, Goodwill & Intangibles has declined for four straight quarters, with an average decline of 0.2% over the last eight quarters.
- The year-over-year decline in Goodwill & Intangibles has ranged between 0.0% (Q2 2025) and 5.6% (Q3 2022) over the last five years.
- Per Business Quant data, PTLO's Goodwill & Intangibles in the three quarters before Q2 2026 was $616.02 million (Q1 2026), $616.02 million (Q4 2025) and $616.02 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - |
| 10 | Portillo's | 266.51 Mn | 213.89 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 616.02 Mn |
| Mar 29, 2026 | 616.02 Mn |
| Dec 28, 2025 | 616.02 Mn |
| Sep 28, 2025 | 616.02 Mn |
| Jun 29, 2025 | 618.22 Mn |
| Mar 30, 2025 | 618.22 Mn |
| Dec 29, 2024 | 618.22 Mn |
| Sep 29, 2024 | 618.22 Mn |
| Jun 30, 2024 | 618.22 Mn |
| Mar 31, 2024 | 618.22 Mn |
| Dec 31, 2023 | 618.22 Mn |
| Sep 24, 2023 | 618.22 Mn |
| Jun 25, 2023 | 618.22 Mn |
| Mar 26, 2023 | 618.22 Mn |
| Dec 25, 2022 | 618.22 Mn |
| Sep 25, 2022 | 618.22 Mn |
| Jun 26, 2022 | 618.22 Mn |
| Mar 27, 2022 | 618.22 Mn |
| Dec 26, 2021 | 618.22 Mn |
| Sep 26, 2021 | 654.84 Mn |
API Access
Portillo's Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=PTLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=PTLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();