Holley (HLLY) Amortization - Intangibles (2020 - 2026)
Holley (HLLY) posted Amortization - Intangibles of $3.42 million for Q2 2026, up 2.0% from $3.35 million a year earlier but down 0.3% from the prior quarter.
Holley (HLLY) Amortization - Intangibles (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Amortization - Intangibles at Holley was $13.74 million, down 1.1% year-over-year; for FY2025, it was $13.78 million, down 0.8% from FY2024.
- Annual Amortization - Intangibles has declined for three consecutive years, though with a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- In prior years, Holley's Amortization - Intangibles was $13.88 million in FY2024 (-4.6%), $14.56 million in FY2023 (-0.9%), $14.68 million in FY2022 (+4.9%) and $14 million in FY2021 (+26.3%).
- Quarterly Amortization - Intangibles has run from a low of $3.35 million in Q2 2025 to a high of $3.7 million in Q4 2022 over five years.
- On a year-over-year basis, Amortization - Intangibles increased in four of the last eight quarters, with an average decline of 1.1%.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was Q3 2021, with growth of 31.6%; the weakest was Q3 2024, with a decline of 6.8%.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $3.43 million (Q1 2026), $3.44 million (Q4 2025) and $3.46 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn |
| 10 | Holley | 283.53 Mn | 93.49 Mn | 70.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 3.42 Mn |
| Mar 29, 2026 | 3.43 Mn |
| Dec 31, 2025 | 3.44 Mn |
| Sep 28, 2025 | 3.46 Mn |
| Jun 29, 2025 | 3.35 Mn |
| Mar 30, 2025 | 3.53 Mn |
| Dec 31, 2024 | 3.58 Mn |
| Sep 29, 2024 | 3.44 Mn |
| Jun 30, 2024 | 3.44 Mn |
| Mar 31, 2024 | 3.44 Mn |
| Dec 31, 2023 | 3.52 Mn |
| Oct 1, 2023 | 3.69 Mn |
| Jul 2, 2023 | 3.67 Mn |
| Apr 2, 2023 | 3.68 Mn |
| Dec 31, 2022 | 3.70 Mn |
| Oct 2, 2022 | 3.66 Mn |
| Jul 3, 2022 | 3.66 Mn |
| Apr 3, 2022 | 3.66 Mn |
| Dec 31, 2021 | 3.61 Mn |
| Sep 26, 2021 | 3.55 Mn |
Holley 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=HLLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "HLLY", "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=HLLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();