Portillo's (PTLO) Revenue (2020 - 2026)
Portillo's' Revenue was $198.95 million in Q2 2026, up 5.6% from $188.46 million a year earlier and up 8.9% from the prior quarter.
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Analysis
Portillo's (PTLO) Revenue (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Portillo's' Revenue was $748.75 million through Jun 28, 2026, up 2.9% year-over-year; for FY2025, it came in at $732.07 million, up 3.0% from FY2024.
- Revenue has now increased for five consecutive years, with a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- In earlier years, Revenue was $710.55 million in FY2024 (+4.5%), $679.91 million in FY2023 (+15.8%), $587.1 million in FY2022 (+9.7%) and $534.95 million in FY2021 (+17.5%).
- The Q2 2026 figure marks the highest quarterly Revenue in data going back to Q3 2020.
- Compared with a year earlier, Revenue has increased for six straight quarters, with growth averaging 3.3% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was Q4 2023 (growth of 24.5%); the worst was Q4 2024 (a decline of 1.7%).
- Per Business Quant data, PTLO's Revenue in the three quarters before Q2 2026 was $182.62 million (Q1 2026), $185.75 million (Q4 2025) and $181.43 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.07 Bn | 158.89 Bn | 6.42 Bn | 7.10 Bn |
| 2 | Starbucks | 108.16 Bn | 95.79 Bn | - | 9.32 Bn |
| 3 | Chipotle Mexican Grill | 40.91 Bn | 36.89 Bn | - | 3.35 Bn |
| 4 | Yum Brands | 37.32 Bn | 34.20 Bn | 1.47 Bn | 2.17 Bn |
| 5 | Restaurant Brands International | 24.36 Bn | 21.46 Bn | 1.38 Bn | 2.52 Bn |
| 6 | Darden Restaurants | 22.52 Bn | 21.62 Bn | -113.70 Mn | 3.72 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.52 Bn |
| 8 | Yum China Holdings | 14.14 Bn | 8.50 Bn | 537.00 Mn | 3.14 Bn |
| 9 | Texas Roadhouse | 10.28 Bn | 9.64 Bn | - | 1.68 Bn |
| 10 | Portillo's | 268.03 Mn | 215.40 Mn | - | 198.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 198.95 Mn |
| Mar 29, 2026 | 182.62 Mn |
| Dec 28, 2025 | 185.75 Mn |
| Sep 28, 2025 | 181.43 Mn |
| Jun 29, 2025 | 188.46 Mn |
| Mar 30, 2025 | 176.44 Mn |
| Dec 29, 2024 | 184.61 Mn |
| Sep 29, 2024 | 178.25 Mn |
| Jun 30, 2024 | 181.86 Mn |
| Mar 31, 2024 | 165.83 Mn |
| Dec 31, 2023 | 187.86 Mn |
| Sep 24, 2023 | 166.81 Mn |
| Jun 25, 2023 | 169.18 Mn |
| Mar 26, 2023 | 156.06 Mn |
| Dec 25, 2022 | 150.88 Mn |
| Sep 25, 2022 | 151.12 Mn |
| Jun 26, 2022 | 150.62 Mn |
| Mar 27, 2022 | 134.48 Mn |
| Dec 26, 2021 | 138.91 Mn |
| Sep 26, 2021 | 138.00 Mn |
API Access
Portillo's Revenue 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=revenue&ticker=PTLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=PTLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();