Portillo's (PTLO) Inventory (2020 - 2026)
Portillo's' Inventory came in at $11.13 million for Q2 2026, up 10.2% from $10.1 million a year earlier and up 45.2% from the prior quarter.
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Analysis
Portillo's (PTLO) Inventory (2020 - 2026) Analysis & Trends
At the end of FY2025, Portillo's' Inventory was $8.21 million, up 3.7% from FY2024.
- Inventory carries a five-year compound annual growth rate of 10.1% (FY2020 to FY2025).
- Going back by year, Inventory was $7.92 million in FY2024 (-9.4%), $8.73 million in FY2023 (+18.2%), $7.39 million in FY2022 (+21.5%) and $6.08 million in FY2021 (+19.8%).
- The Q2 2026 figure represents the highest quarterly Inventory in data going back to Q4 2020.
- Year-over-year, Inventory has increased for five consecutive quarters, with growth averaging 6.7% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in Q1 2024 (growth of 61.8%), and the weakest in Q1 2025 (a decline of 21.6%).
- Business Quant data shows PTLO's Inventory at $7.67 million (Q1 2026), $8.21 million (Q4 2025) and $9.23 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.41 Bn | 169.23 Bn | 6.42 Bn | 58.00 Mn |
| 2 | Starbucks | 112.93 Bn | 100.55 Bn | - | 2.21 Bn |
| 3 | Yum Brands | 41.62 Bn | 38.50 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 35.98 Bn | 31.96 Bn | - | 46.62 Mn |
| 5 | Restaurant Brands International | 25.83 Bn | 21.38 Bn | 1.38 Bn | 224.00 Mn |
| 6 | Darden Restaurants | 24.40 Bn | 23.49 Bn | 1.68 Bn | 321.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 224.00 Mn |
| 8 | Yum China Holdings | 15.50 Bn | 9.16 Bn | 537.00 Mn | 459.00 Mn |
| 9 | Texas Roadhouse | 11.02 Bn | 10.36 Bn | - | 49.69 Mn |
| 10 | Portillo's | 312.75 Mn | 230.31 Mn | - | 11.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 11.13 Mn |
| Mar 29, 2026 | 7.67 Mn |
| Dec 28, 2025 | 8.21 Mn |
| Sep 28, 2025 | 9.23 Mn |
| Jun 29, 2025 | 10.10 Mn |
| Mar 30, 2025 | 6.68 Mn |
| Dec 29, 2024 | 7.92 Mn |
| Sep 29, 2024 | 8.30 Mn |
| Jun 30, 2024 | 8.76 Mn |
| Mar 31, 2024 | 8.51 Mn |
| Dec 31, 2023 | 8.73 Mn |
| Sep 24, 2023 | 6.42 Mn |
| Jun 25, 2023 | 6.49 Mn |
| Mar 26, 2023 | 5.26 Mn |
| Dec 25, 2022 | 7.39 Mn |
| Sep 25, 2022 | 5.93 Mn |
| Jun 26, 2022 | 5.64 Mn |
| Mar 27, 2022 | 5.15 Mn |
| Dec 26, 2021 | 6.08 Mn |
| Sep 26, 2021 | 4.40 Mn |
API Access
Portillo's Inventory 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=inventory&ticker=PTLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=PTLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();