Jerash Holdings (US) (JRSH) Change in Accured Expenses (2016 - 2026)
Jerash Holdings (US)'s Change in Accured Expenses came in at -$333,259 for fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with -$686,793 a year earlier.
Jerash Holdings (US) (JRSH) Change in Accured Expenses (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Jerash Holdings (US) reported Change in Accured Expenses of $1.54 million, up 570.0% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $1.19 million, up 611.8% from FY2025.
- Change in Accured Expenses carries a five-year compound annual growth rate of 68.2% (FY2021 to FY2026).
- Going back by fiscal year, Change in Accured Expenses was $166,593 in FY2025 (-86.6%), $1.25 million in FY2024, -$185,421 in FY2023 and $783,087 in FY2022 (+788.2%).
- The five-year range for quarterly Change in Accured Expenses is -$945,678 (fiscal Q3 2023) to $1.56 million (fiscal Q4 2026).
- Year-over-year, Change in Accured Expenses increased in two of the last six quarters, with growth averaging 17.8%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in fiscal Q4 2026 (growth of 171.9%), and the weakest in fiscal Q2 2026 (a decline of 82.7%).
- Business Quant data shows JRSH's Change in Accured Expenses at $1.56 million (Q4 2026), $268,043 (Q3 2026) and $39,618 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | -1.22 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 99.80 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 53.30 Mn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | -4.52 Mn |
| 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 | 40.70 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 66.18 Mn |
| 10 | Jerash Holdings (US) | 78.10 Mn | 24.82 Mn | 8.26 Mn | -333,259.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -333,259.00 |
| Mar 31, 2026 | 1.56 Mn |
| Dec 31, 2025 | 268,043.00 |
| Sep 30, 2025 | 39,618.00 |
| Jun 30, 2025 | -686,793.00 |
| Mar 31, 2025 | 575,493.00 |
| Dec 31, 2024 | 112,048.00 |
| Sep 30, 2024 | 228,994.00 |
| Jun 30, 2024 | -749,942.00 |
| Mar 31, 2024 | 1.10 Mn |
| Dec 31, 2023 | 393,441.00 |
| Sep 30, 2023 | 234,673.00 |
| Jun 30, 2023 | -485,721.00 |
| Mar 31, 2023 | 80,671.00 |
| Dec 31, 2022 | -945,678.00 |
| Sep 30, 2022 | 539,707.00 |
| Jun 30, 2022 | 139,879.00 |
| Mar 31, 2022 | -161,540.00 |
| Dec 31, 2021 | -182,670.00 |
| Sep 30, 2021 | 767,427.00 |
Jerash Holdings (US) Change in Accured Expenses 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=change-in-accured-expenses&ticker=JRSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=JRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();