Portillo's (PTLO) Long-Term Investments (2020 - 2026)
Portillo's (PTLO) posted Long-Term Investments of $15.65 million for Q2 2026, up 0.7% from $15.54 million a year earlier and up 0.1% from the prior quarter.
Portillo's (PTLO) Long-Term Investments (2020 - 2026) Analysis & Trends
At the end of FY2025, Portillo's' Long-Term Investments came in at $15.7 million, down 2.2% from FY2024.
- Annual Long-Term Investments shows a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- In prior years, Portillo's' Long-Term Investments was $16.06 million in FY2024 (-3.8%), $16.68 million in FY2023 (+2.5%), $16.27 million in FY2022 (+0.6%) and $16.17 million in FY2021 (+1.0%).
- Quarterly Long-Term Investments has run from a low of $15.54 million in Q2 2025 to a high of $16.68 million in Q4 2023 over five years.
- On a year-over-year basis, Long-Term Investments increased in 1 of the last eight quarters, with an average decline of 2.4%.
- The strongest year-over-year quarter for Long-Term Investments in the past five years was Q4 2023, with growth of 2.5%; the weakest was Q1 2025, with a decline of 4.2%.
- According to Business Quant data, Long-Term Investments for the three prior quarters was $15.62 million (Q1 2026), $15.7 million (Q4 2025) and $15.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 2.90 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 1.70 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 97.08 Mn |
| 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 | 382.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | - |
| 10 | Portillo's | 268.03 Mn | 215.40 Mn | - | 15.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 15.65 Mn |
| Mar 29, 2026 | 15.62 Mn |
| Dec 28, 2025 | 15.70 Mn |
| Sep 28, 2025 | 15.70 Mn |
| Jun 29, 2025 | 15.54 Mn |
| Mar 30, 2025 | 15.94 Mn |
| Dec 29, 2024 | 16.06 Mn |
| Sep 29, 2024 | 16.03 Mn |
| Jun 30, 2024 | 15.94 Mn |
| Mar 31, 2024 | 16.64 Mn |
| Dec 31, 2023 | 16.68 Mn |
| Sep 24, 2023 | 16.54 Mn |
| Jun 25, 2023 | 16.37 Mn |
| Mar 26, 2023 | 16.24 Mn |
| Dec 25, 2022 | 16.27 Mn |
| Sep 25, 2022 | 16.25 Mn |
| Jun 26, 2022 | 16.08 Mn |
| Mar 27, 2022 | 16.13 Mn |
| Dec 26, 2021 | 16.17 Mn |
| Sep 26, 2021 | 16.28 Mn |
Portillo's Long-Term Investments 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=long-term-investments&ticker=PTLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=PTLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();