Genuine Parts (GPC) Amortization - Intangibles (2012 - 2026)
Genuine Parts (GPC) recorded Amortization - Intangibles of $8.76 million in Q1 2016, up 1.8% from $8.6 million a year earlier but down 1.9% from the prior quarter.
Genuine Parts (GPC) Amortization - Intangibles (2012 - 2026) Analysis & Trends
On a TTM basis, Genuine Parts' Amortization - Intangibles came in at $35.03 million as of Mar 31, 2016, down 4.3% year-over-year; for FY2015, it came in at $34.88 million, down 5.4% from FY2014.
- Annual Amortization - Intangibles has a five-year compound annual growth rate of 49.1% (FY2010 to FY2015).
- Across earlier years, Amortization - Intangibles came in at $36.87 million in FY2014 (+27.2%), $28.99 million in FY2013 (+123.1%), $12.99 million in FY2012 (+91.8%) and $6.77 million in FY2011 (+43.0%).
- Quarterly Amortization - Intangibles has ranged from $3.43 million in Q3 2012 to $10.55 million in Q4 2014 over the past five years.
- On a year-over-year basis, Amortization - Intangibles rose in four of the last eight quarters, with growth averaging 2.1%.
- Peak year-over-year performance for Amortization - Intangibles in the last five years was growth of 135.1% in Q1 2014, against a decline of 15.3% in Q4 2015 at the low end.
- Per Business Quant, the preceding three quarters came in at $8.93 million (Q4 2015), $8.55 million (Q3 2015) and $8.8 million (Q2 2015).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn |
| 10 | Genuine Parts | 17.20 Bn | 14.91 Bn | 2.48 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 39.26 Mn |
| Jun 30, 2026 | 39.06 Mn |
| Mar 31, 2026 | 39.80 Mn |
| Dec 31, 2025 | 113.50 Mn |
| Sep 30, 2025 | 1.14 Mn |
| Jun 30, 2025 | 920,000.00 |
| Mar 31, 2025 | 36.87 Mn |
| Dec 31, 2024 | 106.70 Mn |
| Sep 30, 2024 | 1.61 Mn |
| Jun 30, 2024 | 585,000.00 |
| Mar 31, 2024 | 34.10 Mn |
| Mar 31, 2016 | 8.76 Mn |
| Dec 31, 2015 | 8.93 Mn |
| Sep 30, 2015 | 8.55 Mn |
| Jun 30, 2015 | 8.80 Mn |
| Mar 31, 2015 | 8.60 Mn |
| Dec 31, 2014 | 10.55 Mn |
| Sep 30, 2014 | 8.95 Mn |
| Jun 30, 2014 | 8.50 Mn |
| Mar 31, 2014 | 8.88 Mn |
Genuine Parts Amortization - Intangibles 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=amortization-intangibles&ticker=GPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=GPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();