Jerash Holdings (US) (JRSH) Net Equity Issued and Repurchased (2017 - 2022)
Jerash Holdings (US) (JRSH) reported Net Equity Issued and Repurchased of $1.13 million for fiscal Q1 2023 (quarter ended Jun 30, 2022).
Jerash Holdings (US) (JRSH) Net Equity Issued and Repurchased (2017 - 2022) Analysis & Trends
For FY2022 (ended Mar 31, 2022), Jerash Holdings (US) posted Net Equity Issued and Repurchased of $6.27 million.
- Net Equity Issued and Repurchased has a four-year compound annual growth rate of 37.1% (FY2018 to FY2022).
- By fiscal year, Net Equity Issued and Repurchased came in at $8.93 million in FY2019 (+403.7%) and $1.77 million in FY2018.
- The fiscal Q1 2023 figure ranks as the highest quarterly Net Equity Issued and Repurchased since fiscal Q1 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Equity Issued (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.05 Bn | 18.05 Bn | 5.39 Bn | 103.00 Mn |
| 2 | Tapestry | 23.90 Bn | 19.86 Bn | 1.56 Bn | 8.00 Mn |
| 3 | Ralph Lauren | 21.81 Bn | 13.91 Bn | 1.44 Bn | - |
| 4 | Deckers Outdoor | 11.33 Bn | 4.20 Bn | - | - |
| 5 | Lululemon Athletica | 10.22 Bn | 4.47 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.69 Bn | 4.35 Bn | 979.10 Mn | - |
| 7 | Gildan Activewear | 6.41 Bn | 5.41 Bn | 459.76 Mn | - |
| 8 | Birkenstock Holding | 6.07 Bn | 4.37 Bn | 493.89 Mn | - |
| 9 | Crocs | 5.74 Bn | 5.15 Bn | 700.71 Mn | - |
| 10 | Jerash Holdings (US) | 74.04 Mn | 20.75 Mn | 8.26 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 1.13 Mn |
| Jun 30, 2018 | 8.93 Mn |
| Sep 30, 2017 | 561,138.00 |
| Jun 30, 2017 | 1.21 Mn |
Jerash Holdings (US) Net Equity Issued and Repurchased 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=net-equity-issued-and-repurchased&ticker=JRSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-equity-issued-and-repurchased", "ticker": "JRSH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=net-equity-issued-and-repurchased&ticker=JRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();