Holley (HLLY) Property, Plant & Equipment (Net) (2020 - 2026)
Holley's Property, Plant & Equipment (Net) was $50.17 million in Q2 2026, up 12.6% from $44.54 million a year earlier and up 8.0% from the prior quarter.
Holley (HLLY) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Holley came in at $45.13 million, up 10.1% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $40.98 million in FY2024 (-13.2%), $47.21 million in FY2023 (-9.5%), $52.18 million in FY2022 (+1.3%) and $51.5 million in FY2021 (+17.8%).
- The Q2 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) since Q1 2023.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for five straight quarters, with growth averaging 0.6% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q4 2021 (growth of 17.8%); the worst was Q4 2024 (a decline of 13.2%).
- Per Business Quant data, HLLY's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $46.47 million (Q1 2026), $45.13 million (Q4 2025) and $43.76 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | 47.26 Bn |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | 108.89 Bn |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | 2.50 Bn |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | 23.29 Bn |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | 53.32 Bn |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | 39.96 Bn |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | 5.56 Bn |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | 8.85 Bn |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | 53.62 Bn |
| 10 | Holley | 281.13 Mn | 91.09 Mn | 70.54 Mn | 50.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 50.17 Mn |
| Mar 29, 2026 | 46.47 Mn |
| Dec 31, 2025 | 45.13 Mn |
| Sep 28, 2025 | 43.76 Mn |
| Jun 29, 2025 | 44.54 Mn |
| Mar 30, 2025 | 41.66 Mn |
| Dec 31, 2024 | 40.98 Mn |
| Sep 29, 2024 | 42.72 Mn |
| Jun 30, 2024 | 43.49 Mn |
| Mar 31, 2024 | 46.38 Mn |
| Dec 31, 2023 | 47.21 Mn |
| Oct 1, 2023 | 48.03 Mn |
| Jul 2, 2023 | 49.69 Mn |
| Apr 2, 2023 | 50.62 Mn |
| Dec 31, 2022 | 52.18 Mn |
| Oct 2, 2022 | 54.77 Mn |
| Jul 3, 2022 | 56.01 Mn |
| Apr 3, 2022 | 55.19 Mn |
| Dec 31, 2021 | 51.50 Mn |
| Sep 26, 2021 | 50.39 Mn |
Holley Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=HLLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=HLLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();