Group 1 Automotive (GPI) Depreciation & Amortization (CF) (2010 - 2026)
Group 1 Automotive (GPI) recorded Depreciation & Amortization (CF) of $30.9 million in Q2 2026, up 7.7% from $28.7 million a year earlier but down 0.6% from the prior quarter.
Group 1 Automotive (GPI) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
On a TTM basis, Group 1 Automotive's Depreciation & Amortization (CF) came in at $125.1 million as of Jun 30, 2026, up 5.1% year-over-year; for FY2025, it was $121.1 million, up 7.1% from FY2024.
- Annual Depreciation & Amortization (CF) has increased for 16 straight years, with a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $113.1 million in FY2024 (+22.9%), $92 million in FY2023 (+3.0%), $89.3 million in FY2022 (+13.2%) and $78.9 million in FY2021 (+4.1%).
- Quarterly Depreciation & Amortization (CF) has ranged from $19.2 million in Q3 2021 to $31.6 million in Q3 2025 over the past five years.
- On a year-over-year basis, Depreciation & Amortization (CF) rose in seven of the last eight quarters, with growth averaging 13.5%.
- Across the past five years, year-over-year growth in Depreciation & Amortization (CF) ran from 0.0% in Q4 2025 to 34.6% in Q4 2024.
- Per Business Quant, the preceding three quarters came in at $31.1 million (Q1 2026), $31.5 million (Q4 2025) and $31.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,887.17 Bn | 2,383.84 Bn | 107.37 Bn | 20.95 Bn |
| 2 | Home Depot | 352.83 Bn | 346.07 Bn | 16.12 Bn | 929.00 Mn |
| 3 | Tjx Companies | 152.69 Bn | 130.24 Bn | 5.07 Bn | 340.00 Mn |
| 4 | Lowes Companies | 129.94 Bn | 122.90 Bn | 8.58 Bn | 648.00 Mn |
| 5 | Target | 75.44 Bn | 70.03 Bn | 8.94 Bn | 784.00 Mn |
| 6 | Ross Stores | 75.40 Bn | 58.32 Bn | 2.12 Bn | 140.19 Mn |
| 7 | O Reilly Automotive | 74.28 Bn | 73.37 Bn | 2.52 Bn | 138.28 Mn |
| 8 | Carvana | 54.79 Bn | 44.38 Bn | 1.52 Bn | 64.00 Mn |
| 9 | Autozone | 53.72 Bn | 52.57 Bn | 3.52 Bn | 220.14 Mn |
| 10 | Group 1 Automotive | 3.17 Bn | 2.05 Bn | 854.80 Mn | 31.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 31.20 Mn |
| Jun 30, 2026 | 30.90 Mn |
| Mar 31, 2026 | 31.10 Mn |
| Dec 31, 2025 | 31.50 Mn |
| Sep 30, 2025 | 31.60 Mn |
| Jun 30, 2025 | 28.70 Mn |
| Mar 31, 2025 | 29.30 Mn |
| Dec 31, 2024 | 31.50 Mn |
| Sep 30, 2024 | 29.50 Mn |
| Jun 30, 2024 | 28.20 Mn |
| Mar 31, 2024 | 23.80 Mn |
| Dec 31, 2023 | 23.40 Mn |
| Sep 30, 2023 | 23.10 Mn |
| Jun 30, 2023 | 23.10 Mn |
| Mar 31, 2023 | 22.40 Mn |
| Dec 31, 2022 | 22.40 Mn |
| Sep 30, 2022 | 21.80 Mn |
| Jun 30, 2022 | 23.00 Mn |
| Mar 31, 2022 | 21.70 Mn |
| Dec 31, 2021 | 21.00 Mn |
Group 1 Automotive Depreciation & Amortization (CF) 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-amortization-cf&ticker=GPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "GPI", "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-amortization-cf&ticker=GPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();