Genuine Parts (GPC) Interest Expenses (2009 - 2026)
Genuine Parts (GPC) posted Interest Expenses of $43.95 million for Q1 2026, up 18.1% from $37.22 million a year earlier but down 3.9% from the prior quarter.
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Analysis
Genuine Parts (GPC) Interest Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Interest Expenses at Genuine Parts was $170.24 million, up 46.3% year-over-year; for FY2025, it was $163.51 million, up 68.9% from FY2024.
- Annual Interest Expenses shows a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- In prior years, Genuine Parts' Interest Expenses was $96.83 million in FY2024 (+50.2%), $64.47 million in FY2023 (-12.7%), $73.89 million in FY2022 (+18.9%) and $62.15 million in FY2021 (-31.7%).
- Quarterly Interest Expenses has run from a low of $14.17 million in Q3 2021 to a high of $45.74 million in Q4 2025 over five years.
- On a year-over-year basis, Interest Expenses has increased in each of the last nine quarters, with growth averaging 64.2% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q1 2025, with growth of 110.4%; the weakest was Q3 2021, with a decline of 45.1%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $45.74 million (Q4 2025), $40.34 million (Q3 2025) and $40.21 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 1.31 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 583.00 Mn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | - |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 98.00 Mn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 69.87 Mn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 101.00 Mn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | - |
| 10 | Genuine Parts | 17.51 Bn | 15.56 Bn | 2.47 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 43.95 Mn |
| Dec 31, 2025 | 45.74 Mn |
| Sep 30, 2025 | 40.34 Mn |
| Jun 30, 2025 | 40.21 Mn |
| Mar 31, 2025 | 37.22 Mn |
| Dec 31, 2024 | 29.40 Mn |
| Sep 30, 2024 | 27.82 Mn |
| Jun 30, 2024 | 21.92 Mn |
| Mar 31, 2024 | 17.69 Mn |
| Dec 31, 2023 | 15.32 Mn |
| Sep 30, 2023 | 15.83 Mn |
| Jun 30, 2023 | 16.46 Mn |
| Mar 31, 2023 | 16.86 Mn |
| Dec 31, 2022 | 15.57 Mn |
| Sep 30, 2022 | 18.22 Mn |
| Jun 30, 2022 | 20.25 Mn |
| Mar 31, 2022 | 19.85 Mn |
| Dec 31, 2021 | 14.30 Mn |
| Sep 30, 2021 | 14.17 Mn |
| Jun 30, 2021 | 15.36 Mn |
API Access
Genuine Parts Interest 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=interest-expenses&ticker=GPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=GPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();