Harley-Davidson (HOG) EBITDA (2011 - 2019)
Harley-Davidson (HOG) posted EBITDA of $118.57 million for Q2 2026, down 22.4% from $152.86 million a year earlier but up 75.3% from the prior quarter.
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Analysis
Harley-Davidson (HOG) EBITDA (2011 - 2019) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Harley-Davidson was $390.15 million, up 12.2% year-over-year; for FY2025, it came in at $559.01 million, down 3.2% from FY2024.
- Annual EBITDA has declined for three consecutive years, though with a five-year compound annual growth rate of 23.4% (FY2020 to FY2025).
- In prior years, Harley-Davidson's EBITDA was $577.3 million in FY2024 (-38.4%), $937.2 million in FY2023 (-11.7%), $1.06 billion in FY2022 (+7.3%) and $988.62 million in FY2021 (+406.0%).
- Quarterly EBITDA has run from a low of -$315.03 million in Q4 2025 to a high of $518.97 million in Q3 2025 over five years.
- On a year-over-year basis, EBITDA increased in 1 of the last six quarters, with growth averaging 8.0%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q3 2025, with growth of 257.9%; the weakest was Q1 2026, with a decline of 66.6%.
- According to Business Quant data, EBITDA for the three prior quarters was $67.63 million (Q1 2026), -$315.03 million (Q4 2025) and $518.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,190.31 Bn | 1,016.34 Bn | 4.75 Bn | 2.02 Bn |
| 2 | General Motors | 73.99 Bn | -32.52 Bn | 7.33 Bn | 2.76 Bn |
| 3 | Ferrari | 70.26 Bn | 62.75 Bn | 1.18 Bn | 878.33 Mn |
| 4 | Ford Motor | 48.56 Bn | -93.94 Bn | 6.08 Bn | 2.50 Bn |
| 5 | Honda Motor | 45.38 Bn | -104.43 Bn | 8.46 Bn | 4.42 Bn |
| 6 | Toyota Motor | 24.52 Bn | -376.30 Bn | 20.95 Bn | 10.70 Bn |
| 7 | Magna International | 18.44 Bn | 12.46 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 16.34 Bn | -6.97 Bn | 179.00 Mn | -599.00 Mn |
| 9 | Stellantis | 12.40 Bn | -152.25 Bn | 5.55 Bn | 2.67 Bn |
| 10 | Harley-Davidson | 2.81 Bn | -5.76 Bn | 421.12 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 250.45 Mn |
| Sep 30, 2018 | 237.63 Mn |
| Jul 1, 2018 | 410.82 Mn |
| Apr 1, 2018 | 319.01 Mn |
| Sep 24, 2017 | 172.09 Mn |
| Jun 25, 2017 | 472.66 Mn |
| Mar 26, 2017 | 364.16 Mn |
| Sep 25, 2016 | 253.88 Mn |
| Jun 26, 2016 | 485.26 Mn |
| Mar 27, 2016 | 460.40 Mn |
| Sep 27, 2015 | 287.71 Mn |
| Jun 28, 2015 | 534.72 Mn |
| Mar 29, 2015 | 479.08 Mn |
| Sep 28, 2014 | 292.26 Mn |
| Jun 29, 2014 | 615.03 Mn |
| Mar 30, 2014 | 476.38 Mn |
| Sep 29, 2013 | 313.39 Mn |
| Jun 30, 2013 | 493.57 Mn |
| Mar 31, 2013 | 410.91 Mn |
| Sep 30, 2012 | 278.91 Mn |
API Access
Harley-Davidson EBITDA 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=ebitda&ticker=HOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=HOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();