Harley-Davidson (HOG) Operating Expenses (2009 - 2026)
Harley-Davidson (HOG) posted Operating Expenses of $1.15 billion for Q2 2026, down 3.4% from $1.19 billion a year earlier but up 0.5% from the prior quarter.
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Analysis
Harley-Davidson (HOG) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Harley-Davidson was $4.03 billion, down 6.1% year-over-year; for FY2025, it was $4.09 billion, down 14.3% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- In prior years, Harley-Davidson's Operating Expenses was $4.77 billion in FY2024 (-5.7%), $5.06 billion in FY2023 (+4.4%), $4.85 billion in FY2022 (+7.4%) and $4.51 billion in FY2021 (+11.6%).
- Quarterly Operating Expenses has run from a low of $857.22 million in Q4 2025 to a high of $1.47 billion in Q1 2024 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last eight quarters, with an average decline of 12.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2021, with growth of 21.2%; the weakest was Q3 2024, with a decline of 22.0%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $1.15 billion (Q1 2026), $857.22 million (Q4 2025) and $865.95 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,157.07 Bn | 991.62 Bn | 4.75 Bn | 4.35 Bn |
| 2 | Toyota Motor | 254.94 Bn | -151.80 Bn | 20.95 Bn | 78.18 Bn |
| 3 | Ferrari | 147.58 Bn | 140.03 Bn | 1.18 Bn | 471.42 Mn |
| 4 | Honda Motor | 147.32 Bn | 14.70 Bn | 8.46 Bn | -34.70 Bn |
| 5 | General Motors | 70.77 Bn | -34.10 Bn | 7.33 Bn | 46.57 Bn |
| 6 | Ford Motor | 48.49 Bn | -93.97 Bn | 6.08 Bn | 47.66 Bn |
| 7 | Rivian Automotive | 20.14 Bn | -3.15 Bn | 179.00 Mn | 1.02 Bn |
| 8 | Magna International | 18.12 Bn | 15.68 Bn | 1.61 Bn | 273.20 Mn |
| 9 | Stellantis | 13.39 Bn | -152.61 Bn | 5.55 Bn | 4.85 Bn |
| 10 | Harley-Davidson | 2.57 Bn | -5.98 Bn | 421.12 Mn | 1.15 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.15 Bn |
| Mar 31, 2026 | 1.15 Bn |
| Dec 31, 2025 | 857.22 Mn |
| Sep 30, 2025 | 865.95 Mn |
| Jun 30, 2025 | 1.19 Bn |
| Mar 31, 2025 | 1.17 Bn |
| Dec 31, 2024 | 880.96 Mn |
| Sep 30, 2024 | 1.04 Bn |
| Jun 30, 2024 | 1.38 Bn |
| Mar 31, 2024 | 1.47 Bn |
| Dec 31, 2023 | 1.07 Bn |
| Sep 30, 2023 | 1.34 Bn |
| Jun 30, 2023 | 1.22 Bn |
| Mar 31, 2023 | 1.42 Bn |
| Dec 31, 2022 | 1.14 Bn |
| Sep 25, 2022 | 1.31 Bn |
| Jun 26, 2022 | 1.19 Bn |
| Mar 27, 2022 | 1.21 Bn |
| Dec 31, 2021 | 1.02 Bn |
| Sep 26, 2021 | 1.16 Bn |
API Access
Harley-Davidson Operating 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=operating-expenses&ticker=HOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HOG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=HOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();