Jerash Holdings (US) (JRSH) EV to FCF (2018 - 2026)
Jerash Holdings (US)'s (JRSH) EV to FCF was 7.08 for fiscal Q1 2027 (quarter ended Jun 30, 2026).
Jerash Holdings (US) (JRSH) EV to FCF (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Jerash Holdings (US)'s EV to FCF came in at 1.17; for FY2025 (ended Mar 31, 2025), it was 68.12, up 258.4% from FY2024.
- By fiscal year, EV to FCF came in at 19.01 in FY2024 (+379.3%), 3.96 in FY2023 (-55.9%) and 8.99 in FY2022.
- The fiscal Q1 2027 figure ranks as the highest quarterly EV to FCF since fiscal Q4 2025.
- The high point for year-over-year EV to FCF in five years was fiscal Q4 2024 (growth of 379.3%); the low point was fiscal Q3 2024 (a decline of 69.2%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn |
| 10 | Jerash Holdings (US) | 71.88 Mn | 18.59 Mn | 8.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.08 |
| Mar 31, 2025 | 68.12 |
| Mar 31, 2024 | 19.01 |
| Dec 31, 2023 | 2.40 |
| Sep 30, 2023 | 1.94 |
| Jun 30, 2023 | 2.56 |
| Mar 31, 2023 | 3.96 |
| Dec 31, 2022 | 7.78 |
| Sep 30, 2022 | 4.46 |
| Jun 30, 2022 | 2.15 |
| Mar 31, 2022 | 8.99 |
| Dec 31, 2021 | 7.00 |
| Sep 30, 2021 | 10.40 |
| Dec 31, 2020 | 12.97 |
| Sep 30, 2020 | 4.64 |
| Jun 30, 2020 | 8.82 |
| Mar 31, 2020 | 14.24 |
| Dec 31, 2019 | 4,394.74 |
| Jun 30, 2019 | 6.67 |
| Mar 31, 2019 | 6.30 |
Jerash Holdings (US) EV to FCF 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=ev-to-fcf&ticker=JRSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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=ev-to-fcf&ticker=JRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();