Portillo's (PTLO) Depreciation and Depletion (2020 - 2026)
Portillo's (PTLO) reported Depreciation and Depletion of $7.6 million for Q2 2026, up 18.8% from $6.4 million a year earlier and up 5.6% from the prior quarter.
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Analysis
Portillo's (PTLO) Depreciation and Depletion (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Portillo's' Depreciation and Depletion came in at $28.3 million, up 15.0% year-over-year; for FY2025, it was $26.4 million, up 7.8% from FY2024.
- Depreciation and Depletion has increased for six consecutive years, with a five-year compound annual growth rate of 10.8% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $24.5 million in FY2024 (+14.5%), $21.4 million in FY2023 (+18.9%), $18 million in FY2022 (+6.5%) and $16.9 million in FY2021 (+7.0%).
- The Q2 2026 figure ranks as the highest quarterly Depreciation and Depletion in data going back to Q3 2020.
- Year over year, Depreciation and Depletion has now increased in each of the last four quarters, with growth averaging 9.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Depreciation and Depletion ran from 0.0% in Q2 2025 to 26.1% in Q4 2023.
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.2 million (Q1 2026), $6.9 million (Q4 2025) and $6.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.07 Bn | 158.89 Bn | 6.42 Bn | - |
| 2 | Starbucks | 108.16 Bn | 95.79 Bn | - | 361.60 Mn |
| 3 | Chipotle Mexican Grill | 40.91 Bn | 36.89 Bn | - | - |
| 4 | Yum Brands | 37.32 Bn | 34.20 Bn | 1.47 Bn | - |
| 5 | Restaurant Brands International | 24.36 Bn | 21.46 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 22.52 Bn | 21.62 Bn | -113.70 Mn | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | - |
| 8 | Yum China Holdings | 14.14 Bn | 8.50 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 10.28 Bn | 9.64 Bn | - | - |
| 10 | Portillo's | 268.03 Mn | 215.40 Mn | - | 7.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 7.60 Mn |
| Mar 29, 2026 | 7.20 Mn |
| Dec 28, 2025 | 6.90 Mn |
| Sep 28, 2025 | 6.60 Mn |
| Jun 29, 2025 | 6.40 Mn |
| Mar 30, 2025 | 6.30 Mn |
| Dec 29, 2024 | 5.90 Mn |
| Sep 29, 2024 | 6.00 Mn |
| Jun 30, 2024 | 6.40 Mn |
| Mar 31, 2024 | 6.20 Mn |
| Dec 31, 2023 | 5.80 Mn |
| Sep 24, 2023 | 5.50 Mn |
| Jun 25, 2023 | 5.20 Mn |
| Mar 26, 2023 | 5.00 Mn |
| Dec 25, 2022 | 4.60 Mn |
| Sep 25, 2022 | 4.50 Mn |
| Jun 26, 2022 | 4.50 Mn |
| Mar 27, 2022 | 4.40 Mn |
| Dec 26, 2021 | 4.30 Mn |
| Sep 26, 2021 | 4.30 Mn |
API Access
Portillo's Depreciation and Depletion 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=depreciation-and-depletion&ticker=PTLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=PTLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();