Harley-Davidson (HOG) Other Operating Expenses (2009 - 2026)
Harley-Davidson's Other Operating Expenses was $823.34 million in Q2 2026, up 3.8% from $792.84 million a year earlier and up 2.4% from the prior quarter.
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Analysis
Harley-Davidson (HOG) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Harley-Davidson's Other Operating Expenses was $2.53 billion through Jun 30, 2026, down 8.9% year-over-year; for FY2025, it came in at $2.52 billion, down 21.9% from FY2024.
- Other Operating Expenses shows a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $3.22 billion in FY2024 (-8.4%), $3.52 billion in FY2023 (unchanged), $3.52 billion in FY2022 (+8.8%) and $3.23 billion in FY2021 (+25.0%).
- The Q2 2026 figure marks the highest quarterly Other Operating Expenses since Q2 2024.
- Compared with a year earlier, Other Operating Expenses was higher in 1 of the last eight quarters, with an average decline of 17.4%.
- The best year-over-year quarter for Other Operating Expenses over five years was Q4 2021 (growth of 61.6%); the worst was Q3 2024 (a decline of 29.3%).
- Per Business Quant data, HOG's Other Operating Expenses in the three quarters before Q2 2026 was $803.72 million (Q1 2026), $420.72 million (Q4 2025) and $487 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,160.73 Bn | 982.96 Bn | 5.49 Bn |
| 2 | General Motors | 75.19 Bn | -29.42 Bn | 9.28 Bn |
| 3 | Ferrari | 74.17 Bn | 66.47 Bn | 1.14 Bn |
| 4 | Ford Motor | 49.64 Bn | -84.78 Bn | 7.38 Bn |
| 5 | Honda Motor | 47.63 Bn | -102.18 Bn | 8.46 Bn |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn |
| 7 | Rivian Automotive | 19.71 Bn | -2.02 Bn | 176.00 Mn |
| 8 | Magna International | 17.43 Bn | 11.40 Bn | 1.63 Bn |
| 9 | Stellantis | 12.80 Bn | -148.64 Bn | 3.94 Bn |
| 10 | Harley-Davidson | 3.38 Bn | -5.49 Bn | 381.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 754.02 Mn |
| Jun 30, 2026 | 857.52 Mn |
| Mar 31, 2026 | 846.58 Mn |
| Dec 31, 2025 | 558.84 Mn |
| Sep 30, 2025 | 573.07 Mn |
| Jun 30, 2025 | 894.11 Mn |
| Mar 31, 2025 | 913.05 Mn |
| Dec 31, 2024 | 606.70 Mn |
| Sep 30, 2024 | 771.02 Mn |
| Jun 30, 2024 | 1.07 Bn |
| Mar 31, 2024 | 1.17 Bn |
| Dec 31, 2023 | 776.40 Mn |
| Sep 30, 2023 | 1.04 Bn |
| Jun 30, 2023 | 933.91 Mn |
| Mar 31, 2023 | 1.13 Bn |
| Dec 31, 2022 | 800.09 Mn |
| Sep 25, 2022 | 1.04 Bn |
| Jun 26, 2022 | 956.50 Mn |
| Mar 27, 2022 | 966.46 Mn |
| Dec 31, 2021 | 717.57 Mn |
API Access
Harley-Davidson Other 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=other-operating-expenses&ticker=HOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=HOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();