Holley (HLLY) Accumulated Expenses (2020 - 2026)
Holley (HLLY) recorded Accumulated Expenses of $40.55 million in Q2 2026, down 22.3% from $52.19 million a year earlier but up 3.8% from the prior quarter.
Holley (HLLY) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Holley reported Accumulated Expenses of $48.32 million, up 11.9% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $43.19 million in FY2024 (+2.5%), $42.13 million in FY2023 (-2.7%), $43.32 million in FY2022 (+24.3%) and $34.85 million in FY2021 (+33.6%).
- Quarterly Accumulated Expenses has ranged from $18.77 million in Q3 2021 to $56.16 million in Q1 2025 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in five of the last eight quarters, with growth averaging 5.1%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 124.3% in Q3 2022, against a decline of 30.4% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $39.08 million (Q1 2026), $48.32 million (Q4 2025) and $51.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,146.25 Bn | 980.81 Bn | 4.75 Bn |
| 2 | Toyota Motor | 244.39 Bn | -162.35 Bn | 20.95 Bn |
| 3 | Ferrari | 143.73 Bn | 136.18 Bn | 1.18 Bn |
| 4 | Honda Motor | 143.33 Bn | 10.71 Bn | 8.46 Bn |
| 5 | General Motors | 69.61 Bn | -35.26 Bn | 7.33 Bn |
| 6 | Ford Motor | 48.10 Bn | -94.36 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.10 Bn | -3.19 Bn | 179.00 Mn |
| 8 | Magna International | 18.07 Bn | 15.63 Bn | 1.61 Bn |
| 9 | Stellantis | 13.56 Bn | -152.44 Bn | 5.55 Bn |
| 10 | Holley | 285.93 Mn | 95.89 Mn | 70.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 40.55 Mn |
| Mar 29, 2026 | 39.08 Mn |
| Dec 31, 2025 | 48.32 Mn |
| Sep 28, 2025 | 51.68 Mn |
| Jun 29, 2025 | 52.19 Mn |
| Mar 30, 2025 | 56.16 Mn |
| Dec 31, 2024 | 43.19 Mn |
| Sep 29, 2024 | 41.16 Mn |
| Jun 30, 2024 | 41.13 Mn |
| Mar 31, 2024 | 43.58 Mn |
| Dec 31, 2023 | 42.13 Mn |
| Oct 1, 2023 | 42.23 Mn |
| Jul 2, 2023 | 46.61 Mn |
| Apr 2, 2023 | 45.68 Mn |
| Dec 31, 2022 | 43.32 Mn |
| Oct 2, 2022 | 42.10 Mn |
| Jul 3, 2022 | 41.05 Mn |
| Apr 3, 2022 | 45.39 Mn |
| Dec 31, 2021 | 34.85 Mn |
| Sep 26, 2021 | 18.77 Mn |
Holley Accumulated 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=accumulated-expenses&ticker=HLLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=HLLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();