Jerash Holdings (US) (JRSH) Total Non-Current Liabilities (2017 - 2024)
Jerash Holdings (US) (JRSH) reported Total Non-Current Liabilities of $15.4 million for fiscal Q4 2024 (quarter ended Mar 31, 2024), up 4.5% from $14.73 million a year earlier and up 68.6% from the prior quarter.
Jerash Holdings (US) (JRSH) Total Non-Current Liabilities (2017 - 2024) Analysis & Trends
Dating back to fiscal Q4 2017, Jerash Holdings (US)'s Total Non-Current Liabilities record includes 26 quarters.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 15.2% (FY2019 to FY2024).
- By fiscal year, Total Non-Current Liabilities came in at $14.73 million in FY2023 (-1.8%), $15 million in FY2022 (-4.8%), $15.76 million in FY2021 (+33.5%) and $11.8 million in FY2020 (+55.6%).
- The fiscal Q4 2024 figure ranks as the highest quarterly Total Non-Current Liabilities since fiscal Q3 2023.
- Year over year, Total Non-Current Liabilities gained in four of the last eight quarters, with growth averaging 3.4%.
- The high point for year-over-year Total Non-Current Liabilities in five years was fiscal Q2 2021 (growth of 75.6%); the low point was fiscal Q3 2024 (a decline of 52.7%).
- Per Business Quant data, the three fiscal quarters before Q4 2024 came in at $9.13 million (Q3 2024), $10.46 million (Q2 2024) and $13.66 million (Q1 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 59.94 Bn | 26.15 Bn | 4.80 Bn | - |
| 2 | Tapestry | 25.55 Bn | 21.51 Bn | 1.56 Bn | 5.46 Bn |
| 3 | Ralph Lauren | 24.83 Bn | 16.92 Bn | 1.44 Bn | 4.63 Bn |
| 4 | Lululemon Athletica | 12.71 Bn | 6.96 Bn | 1.46 Bn | 3.63 Bn |
| 5 | Deckers Outdoor | 12.03 Bn | 5.22 Bn | 895.11 Mn | 558.33 Mn |
| 6 | Levi Strauss | 9.18 Bn | 5.76 Bn | 1.07 Bn | 4.29 Bn |
| 7 | V F | 8.24 Bn | 4.84 Bn | 1.49 Bn | 7.30 Bn |
| 8 | Crocs | 7.54 Bn | 6.95 Bn | 689.73 Mn | 2.29 Bn |
| 9 | Birkenstock Holding | 6.94 Bn | 5.26 Bn | 493.89 Mn | 2.70 Bn |
| 10 | Jerash Holdings (US) | 74.42 Mn | 20.99 Mn | 8.26 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 15.40 Mn |
| Dec 31, 2023 | 9.13 Mn |
| Sep 30, 2023 | 10.46 Mn |
| Jun 30, 2023 | 13.66 Mn |
| Mar 31, 2023 | 14.73 Mn |
| Dec 31, 2022 | 19.31 Mn |
| Sep 30, 2022 | 21.63 Mn |
| Jun 30, 2022 | 14.71 Mn |
| Mar 31, 2022 | 15.00 Mn |
| Dec 31, 2021 | 11.88 Mn |
| Sep 30, 2021 | 13.82 Mn |
| Jun 30, 2021 | 12.57 Mn |
| Mar 31, 2021 | 15.76 Mn |
| Dec 31, 2020 | 14.74 Mn |
| Sep 30, 2020 | 12.06 Mn |
| Jun 30, 2020 | 9.11 Mn |
| Mar 31, 2020 | 11.80 Mn |
| Dec 31, 2019 | 9.90 Mn |
| Sep 30, 2019 | 6.87 Mn |
| Jun 30, 2019 | 7.92 Mn |
Jerash Holdings (US) Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=JRSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=JRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();