Rocky Brands (RCKY) EBIT (2010 - 2026)
Rocky Brands' EBIT was $19.69 million in Q2 2026, up 175.1% from $7.16 million a year earlier and up 441.5% from the prior quarter.
Rocky Brands (RCKY) EBIT (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Rocky Brands' EBIT was $44.65 million through Jun 30, 2026, up 29.6% year-over-year; for FY2025, it was $37.19 million, up 19.7% from FY2024.
- EBIT shows a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- In earlier years, EBIT was $31.07 million in FY2024 (-12.2%), $35.37 million in FY2023 (-19.7%), $44.04 million in FY2022 (+22.4%) and $35.97 million in FY2021 (+32.4%).
- The Q2 2026 figure marks the highest quarterly EBIT in data going back to Q2 2010.
- Compared with a year earlier, EBIT was higher in five of the last eight quarters, with growth averaging 17.8%.
- The best year-over-year quarter for EBIT over five years was Q3 2022 (growth of 322.3%); the worst was Q3 2021 (a decline of 71.5%).
- Per Business Quant data, RCKY's EBIT in the three quarters before Q2 2026 was $3.64 million (Q1 2026), $9.59 million (Q4 2025) and $11.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.31 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 442.30 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 342.40 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 453.65 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 122.20 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 175.90 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 236.02 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 285.68 Mn |
| 10 | Rocky Brands | 334.63 Mn | 324.12 Mn | 60.80 Mn | 19.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.69 Mn |
| Mar 31, 2026 | 3.64 Mn |
| Dec 31, 2025 | 9.59 Mn |
| Sep 30, 2025 | 11.74 Mn |
| Jun 30, 2025 | 7.16 Mn |
| Mar 31, 2025 | 8.71 Mn |
| Dec 31, 2024 | 8.51 Mn |
| Sep 30, 2024 | 10.07 Mn |
| Jun 30, 2024 | 4.51 Mn |
| Mar 31, 2024 | 7.98 Mn |
| Dec 31, 2023 | 14.74 Mn |
| Sep 30, 2023 | 14.28 Mn |
| Jun 30, 2023 | 2.20 Mn |
| Mar 31, 2023 | 4.16 Mn |
| Dec 31, 2022 | 13.62 Mn |
| Sep 30, 2022 | 11.63 Mn |
| Jun 30, 2022 | 5.60 Mn |
| Mar 31, 2022 | 13.20 Mn |
| Dec 31, 2021 | 18.20 Mn |
| Sep 30, 2021 | 2.75 Mn |
Rocky Brands EBIT 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=ebit&ticker=RCKY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=RCKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();