Genuine Parts (GPC) Tax Provisions (2013 - 2026)
Genuine Parts (GPC) posted Tax Provisions of $54.2 million for Q3 2026, down 17.3% from $65.52 million a year earlier and down 18.2% from the prior quarter.
Genuine Parts (GPC) Tax Provisions (2013 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Tax Provisions at Genuine Parts was -$42.89 million; for FY2025, it came in at -$13.78 million.
- In prior years, Genuine Parts' Tax Provisions was $271.89 million in FY2024 (-36.1%), $425.82 million in FY2023 (+9.2%), $389.9 million in FY2022 (+29.3%) and $301.56 million in FY2021 (+39.6%).
- Quarterly Tax Provisions has run from a low of -$220.22 million in Q4 2025 to a high of $119.04 million in Q2 2022 over five years.
- On a year-over-year basis, Tax Provisions has declined in each of the last three quarters, with an average decline of 20.8% over the last seven quarters.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q4 2021, with growth of 66.8%; the weakest was Q4 2024, with a decline of 66.7%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $66.27 million (Q2 2026), $56.86 million (Q1 2026) and -$220.22 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,691.65 Bn | 2,208.35 Bn | 104.83 Bn | 18.20 Bn |
| 2 | Home Depot | 325.36 Bn | 318.60 Bn | 16.12 Bn | 1.55 Bn |
| 3 | Tjx Companies | 162.54 Bn | 140.09 Bn | 5.07 Bn | 498.00 Mn |
| 4 | Lowes Companies | 114.04 Bn | 107.00 Bn | 8.58 Bn | 776.00 Mn |
| 5 | O Reilly Automotive | 75.74 Bn | 74.83 Bn | 2.52 Bn | 209.01 Mn |
| 6 | Ross Stores | 75.07 Bn | 57.99 Bn | 2.12 Bn | 283.46 Mn |
| 7 | Target | 71.70 Bn | 66.28 Bn | 8.94 Bn | 582.00 Mn |
| 8 | Autozone | 53.85 Bn | 52.75 Bn | 2.52 Bn | 171.78 Mn |
| 9 | Carvana | 42.25 Bn | 32.75 Bn | 1.38 Bn | 66.00 Mn |
| 10 | Genuine Parts | 17.60 Bn | 15.30 Bn | 2.48 Bn | 54.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 54.20 Mn |
| Jun 30, 2026 | 66.27 Mn |
| Mar 31, 2026 | 56.86 Mn |
| Dec 31, 2025 | -220.22 Mn |
| Sep 30, 2025 | 65.52 Mn |
| Jun 30, 2025 | 83.68 Mn |
| Mar 31, 2025 | 57.25 Mn |
| Dec 31, 2024 | 33.94 Mn |
| Sep 30, 2024 | 71.01 Mn |
| Jun 30, 2024 | 90.66 Mn |
| Mar 31, 2024 | 76.29 Mn |
| Dec 31, 2023 | 101.92 Mn |
| Sep 30, 2023 | 113.86 Mn |
| Jun 30, 2023 | 109.60 Mn |
| Mar 31, 2023 | 100.45 Mn |
| Dec 31, 2022 | 85.41 Mn |
| Sep 30, 2022 | 105.58 Mn |
| Jun 30, 2022 | 119.04 Mn |
| Mar 31, 2022 | 79.88 Mn |
| Dec 31, 2021 | 89.91 Mn |
Genuine Parts Tax Provisions 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=tax-provisions&ticker=GPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=GPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();