Rocky Brands (RCKY) EBITDA (2010 - 2026)
Rocky Brands (RCKY) reported EBITDA of $22.11 million for Q2 2026, up 130.3% from $9.6 million a year earlier and up 261.5% from the prior quarter.
Rocky Brands (RCKY) EBITDA (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Rocky Brands' EBITDA came in at $54.57 million, up 22.9% year-over-year; for FY2025, it was $47.03 million, up 13.8% from FY2024.
- EBITDA has a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- By year, EBITDA came in at $41.32 million in FY2024 (-10.8%), $46.31 million in FY2023 (-17.8%), $56.36 million in FY2022 (+19.1%) and $47.31 million in FY2021 (+46.0%).
- The Q2 2026 figure ranks as the highest quarterly EBITDA in data going back to Q3 2010.
- Year over year, EBITDA gained in five of the last eight quarters, with growth averaging 10.7%.
- The high point for year-over-year EBITDA in five years was Q3 2022 (growth of 167.8%); the low point was Q1 2023 (a decline of 57.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.12 million (Q1 2026), $12.11 million (Q4 2025) and $14.24 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.50 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 500.90 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 401.30 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 595.99 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 179.40 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 244.22 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 244.59 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 305.72 Mn |
| 10 | Rocky Brands | 334.63 Mn | 324.12 Mn | 60.80 Mn | 22.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.11 Mn |
| Mar 31, 2026 | 6.12 Mn |
| Dec 31, 2025 | 12.11 Mn |
| Sep 30, 2025 | 14.24 Mn |
| Jun 30, 2025 | 9.60 Mn |
| Mar 31, 2025 | 11.09 Mn |
| Dec 31, 2024 | 10.95 Mn |
| Sep 30, 2024 | 12.75 Mn |
| Jun 30, 2024 | 7.13 Mn |
| Mar 31, 2024 | 10.49 Mn |
| Dec 31, 2023 | 17.42 Mn |
| Sep 30, 2023 | 17.00 Mn |
| Jun 30, 2023 | 4.92 Mn |
| Mar 31, 2023 | 6.97 Mn |
| Dec 31, 2022 | 17.18 Mn |
| Sep 30, 2022 | 14.54 Mn |
| Jun 30, 2022 | 8.42 Mn |
| Mar 31, 2022 | 16.22 Mn |
| Dec 31, 2021 | 21.31 Mn |
| Sep 30, 2021 | 5.43 Mn |
Rocky Brands 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=RCKY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "RCKY", "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=RCKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();