Rocky Brands (RCKY) Gains from Sales and Divestitures (2010 - 2024)
Rocky Brands' Gains from Sales and Divestitures came in at $17,000 for Q2 2024.
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Analysis
Rocky Brands (RCKY) Gains from Sales and Divestitures (2010 - 2024) Analysis & Trends
For FY2023, Rocky Brands' Gains from Sales and Divestitures was $1.34 million, up 70.0% from FY2022.
- Going back by year, Gains from Sales and Divestitures was $789,000 in FY2022, -$41,000 in FY2021, -$28,000 in FY2020 and -$108,000 in FY2019.
- The Q2 2024 figure represents the highest quarterly Gains from Sales and Divestitures since Q1 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn |
| 10 | Rocky Brands | 349.98 Mn | 339.47 Mn | 60.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 17,000.00 |
| Mar 31, 2024 | -17,000.00 |
| Mar 31, 2023 | 1.34 Mn |
| Dec 31, 2022 | -385,000.00 |
| Sep 30, 2022 | 1.18 Mn |
| Jun 30, 2022 | -1,000.00 |
| Dec 31, 2021 | -29,000.00 |
| Sep 30, 2021 | 1,000.00 |
| Dec 31, 2020 | -28,000.00 |
| Dec 31, 2019 | -101,000.00 |
| Dec 31, 2018 | -117,071.00 |
| Sep 30, 2018 | 3,698.00 |
| Dec 31, 2017 | -2.06 Mn |
| Sep 30, 2017 | -10,783.00 |
| Jun 30, 2017 | -640.00 |
| Mar 31, 2017 | -21,552.00 |
| Dec 31, 2016 | -77,955.00 |
| Sep 30, 2016 | -3,368.00 |
| Jun 30, 2016 | 49,664.00 |
| Mar 31, 2016 | -16,053.00 |
API Access
Rocky Brands Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=RCKY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=RCKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();