Lkq (LKQ) Accumulated Expenses (2009 - 2026)
Lkq (LKQ) recorded Accumulated Expenses of $407 million in Q2 2026, up 10.9% from $367 million a year earlier and up 7.1% from the prior quarter.
Analysis
Lkq (LKQ) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Lkq reported Accumulated Expenses of $344 million, down 0.6% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $346 million in FY2024 (+12.0%), $309 million in FY2023 (+5.1%), $294 million in FY2022 (+8.5%) and $271 million in FY2021 (-19.1%).
- The Q2 2026 figure is the highest quarterly Accumulated Expenses in data going back to Q4 2009.
- On a year-over-year basis, Accumulated Expenses rose in six of the last eight quarters, with growth averaging 4.9%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 17.5% in Q3 2023, against a decline of 19.1% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $380 million (Q1 2026), $344 million (Q4 2025) and $381 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn |
| 10 | Lkq | 5.77 Bn | 4.55 Bn | 1.32 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 407.00 Mn |
| Mar 31, 2026 | 380.00 Mn |
| Dec 31, 2025 | 344.00 Mn |
| Sep 30, 2025 | 381.00 Mn |
| Jun 30, 2025 | 367.00 Mn |
| Mar 31, 2025 | 375.00 Mn |
| Dec 31, 2024 | 346.00 Mn |
| Sep 30, 2024 | 397.00 Mn |
| Jun 30, 2024 | 353.00 Mn |
| Mar 31, 2024 | 354.00 Mn |
| Dec 31, 2023 | 309.00 Mn |
| Sep 30, 2023 | 363.00 Mn |
| Jun 30, 2023 | 343.00 Mn |
| Mar 31, 2023 | 324.00 Mn |
| Dec 31, 2022 | 294.00 Mn |
| Sep 30, 2022 | 309.00 Mn |
| Jun 30, 2022 | 337.00 Mn |
| Mar 31, 2022 | 330.00 Mn |
| Dec 31, 2021 | 271.00 Mn |
| Sep 30, 2021 | 332.05 Mn |
API Access
Lkq Accumulated Expenses 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=accumulated-expenses&ticker=LKQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "LKQ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=LKQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();