Holley (HLLY) Selling, General & Administrative (2020 - 2026)
Holley (HLLY) reported Selling, General & Administrative of $40.43 million for Q2 2026, up 22.7% from $32.95 million a year earlier and up 14.2% from the prior quarter.
Holley (HLLY) Selling, General & Administrative (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Holley's Selling, General & Administrative came in at $152.31 million, up 13.5% year-over-year; for FY2025, it came in at $146.13 million, up 10.6% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 15.6% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $132.15 million in FY2024 (+9.9%), $120.24 million in FY2023 (-20.2%), $150.73 million in FY2022 (+29.1%) and $116.79 million in FY2021 (+64.8%).
- Five-year quarterly Selling, General & Administrative spans a low of $28.88 million in Q3 2023 and a high of $48.2 million in Q4 2022.
- Year over year, Selling, General & Administrative gained in six of the last eight quarters, with growth averaging 9.1%.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2021 (growth of 70.7%); the low point was Q4 2023 (a decline of 33.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $35.4 million (Q1 2026), $43.01 million (Q4 2025) and $33.47 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | 1.98 Bn |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | 8.63 Bn |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | 218.61 Mn |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | -3.60 Bn |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | 2.20 Bn |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | 2.68 Bn |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | 549.00 Mn |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | 585.00 Mn |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | 2.89 Bn |
| 10 | Holley | 281.13 Mn | 91.09 Mn | 70.54 Mn | 40.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 40.43 Mn |
| Mar 29, 2026 | 35.40 Mn |
| Dec 31, 2025 | 43.01 Mn |
| Sep 28, 2025 | 33.47 Mn |
| Jun 29, 2025 | 32.95 Mn |
| Mar 30, 2025 | 36.70 Mn |
| Dec 31, 2024 | 34.47 Mn |
| Sep 29, 2024 | 30.11 Mn |
| Jun 30, 2024 | 34.57 Mn |
| Mar 31, 2024 | 33.00 Mn |
| Dec 31, 2023 | 32.25 Mn |
| Oct 1, 2023 | 28.88 Mn |
| Jul 2, 2023 | 29.10 Mn |
| Apr 2, 2023 | 30.02 Mn |
| Dec 31, 2022 | 48.20 Mn |
| Oct 2, 2022 | 31.92 Mn |
| Jul 3, 2022 | 36.27 Mn |
| Apr 3, 2022 | 34.34 Mn |
| Dec 31, 2021 | 37.70 Mn |
| Sep 26, 2021 | 28.89 Mn |
Holley Selling, General & Administrative 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=selling-general-and-administrative&ticker=HLLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=HLLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();