Rocky Brands (RCKY) Operating Margin (2010 - 2026)
Rocky Brands (RCKY) reported Operating Margin of 16.63% for Q2 2026, up 9.86 percentage points from 6.77% a year earlier and up 13.71 percentage points from the prior quarter.
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Analysis
Rocky Brands (RCKY) Operating Margin (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Rocky Brands' Operating Margin came in at 8.84%, up 1.39 percentage points year-over-year; for FY2025, it was 7.72%, up 0.87 percentage points from FY2024.
- Operating Margin has a five-year change of -2.08 percentage points (FY2020 to FY2025).
- By year, Operating Margin came in at 6.85% in FY2024 (-0.81 pp), 7.66% in FY2023 (+0.50 pp), 7.16% in FY2022 (+0.16 pp) and 7.00% in FY2021 (-2.80 pp).
- The Q2 2026 figure ranks as the highest quarterly Operating Margin in data going back to Q2 2010.
- Year over year, Operating Margin gained in five of the last eight quarters, with an average year-over-year change of +0.16 percentage points.
- The high point for year-over-year Operating Margin in five years was Q2 2026 (a gain of 9.86 percentage points); the low point was Q3 2021 (a drop of 10.22 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 2.92% (Q1 2026), 6.86% (Q4 2025) and 9.58% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.65 Bn | 22.85 Bn | 4.80 Bn | 7.92% |
| 2 | Tapestry | 23.21 Bn | 19.17 Bn | 1.56 Bn | 23.57% |
| 3 | Ralph Lauren | 22.74 Bn | 14.84 Bn | 1.44 Bn | 17.47% |
| 4 | Deckers Outdoor | 12.26 Bn | 5.13 Bn | - | - |
| 5 | Lululemon Athletica | 11.47 Bn | 5.73 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 8.23 Bn | 4.82 Bn | 1.07 Bn | 13.81% |
| 7 | V F | 6.82 Bn | 3.44 Bn | 917.04 Mn | -4.98% |
| 8 | Gildan Activewear | 6.56 Bn | 5.48 Bn | 459.76 Mn | 11.12% |
| 9 | Birkenstock Holding | 6.23 Bn | 4.55 Bn | 493.89 Mn | 28.22% |
| 10 | Rocky Brands | 352.62 Mn | 342.11 Mn | 60.80 Mn | 16.63% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.63% |
| Mar 31, 2026 | 2.92% |
| Dec 31, 2025 | 6.86% |
| Sep 30, 2025 | 9.58% |
| Jun 30, 2025 | 6.77% |
| Mar 31, 2025 | 7.63% |
| Dec 31, 2024 | 6.64% |
| Sep 30, 2024 | 8.79% |
| Jun 30, 2024 | 4.59% |
| Mar 31, 2024 | 7.07% |
| Dec 31, 2023 | 11.70% |
| Sep 30, 2023 | 11.37% |
| Jun 30, 2023 | 2.21% |
| Mar 31, 2023 | 3.76% |
| Dec 31, 2022 | 9.80% |
| Sep 30, 2022 | 7.88% |
| Jun 30, 2022 | 3.45% |
| Mar 31, 2022 | 7.90% |
| Dec 31, 2021 | 10.74% |
| Sep 30, 2021 | 2.19% |
API Access
Rocky Brands Operating Margin 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-margin&ticker=RCKY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=RCKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();