Genuine Parts (GPC) EBIT (2009 - 2026)
Genuine Parts (GPC) posted EBIT of $336.34 million for Q2 2026, down 10.7% from $376.84 million a year earlier but up 17.5% from the prior quarter.
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Analysis
Genuine Parts (GPC) EBIT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Genuine Parts was $918.48 million, down 21.9% year-over-year; for FY2025, it was $960.65 million, down 21.8% from FY2024.
- Annual EBIT shows a five-year compound annual growth rate of 18.3% (FY2020 to FY2025).
- In prior years, Genuine Parts' EBIT was $1.23 billion in FY2024 (-29.6%), $1.75 billion in FY2023 (+8.2%), $1.61 billion in FY2022 (+38.8%) and $1.16 billion in FY2021 (+180.3%).
- Quarterly EBIT has run from a low of -$38.43 million in Q4 2025 to a high of $508 million in Q2 2022 over five years.
- On a year-over-year basis, EBIT increased in 1 of the last seven quarters, with an average decline of 15.5%.
- The strongest year-over-year quarter for EBIT in the past five years was Q2 2022, with growth of 94.8%; the weakest was Q4 2024, with a decline of 54.8%.
- According to Business Quant data, EBIT for the three prior quarters was $286.27 million (Q1 2026), -$38.43 million (Q4 2025) and $334.29 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 27.46 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 6.84 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.99 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 3.55 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 1.10 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 2.56 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 985.75 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 680.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 923.76 Mn |
| 10 | Genuine Parts | 17.33 Bn | 15.38 Bn | 2.47 Bn | 336.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 336.34 Mn |
| Mar 31, 2026 | 286.27 Mn |
| Dec 31, 2025 | -38.43 Mn |
| Sep 30, 2025 | 334.29 Mn |
| Jun 30, 2025 | 376.84 Mn |
| Mar 31, 2025 | 287.95 Mn |
| Dec 31, 2024 | 189.28 Mn |
| Sep 30, 2024 | 321.86 Mn |
| Jun 30, 2024 | 398.21 Mn |
| Mar 31, 2024 | 319.87 Mn |
| Dec 31, 2023 | 418.69 Mn |
| Sep 30, 2023 | 465.17 Mn |
| Jun 30, 2023 | 453.90 Mn |
| Mar 31, 2023 | 409.30 Mn |
| Dec 31, 2022 | 347.56 Mn |
| Sep 30, 2022 | 428.54 Mn |
| Jun 30, 2022 | 508.00 Mn |
| Mar 31, 2022 | 330.11 Mn |
| Dec 31, 2021 | 338.08 Mn |
| Sep 30, 2021 | 295.59 Mn |
API Access
Genuine Parts EBIT 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=ebit&ticker=GPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "ticker": "GPC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebit&ticker=GPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();