Jerash Holdings (US) (JRSH) Tax Provisions (2018 - 2026)
Jerash Holdings (US)'s Tax Provisions was $404,173 in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 22.9% from $328,832 a year earlier and up 50.0% from the prior quarter.
Jerash Holdings (US) (JRSH) Tax Provisions (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Jerash Holdings (US)'s Tax Provisions was $1.2 million through Jun 30, 2026, down 1.1% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $1.12 million, up 13.0% from FY2025.
- Tax Provisions shows a five-year compound annual growth rate of -3.6% (FY2021 to FY2026).
- In earlier fiscal years, Tax Provisions was $991,120 in FY2025 (+47.4%), $672,495 in FY2024 (-59.6%), $1.66 million in FY2023 (-34.1%) and $2.52 million in FY2022 (+87.6%).
- The fiscal Q1 2027 figure marks the highest quarterly Tax Provisions since fiscal Q3 2025.
- Compared with a year earlier, Tax Provisions was higher in three of the last six quarters, with growth averaging 26.3%.
- The best year-over-year quarter for Tax Provisions over five years was fiscal Q1 2026 (growth of 194.3%); the worst was fiscal Q3 2024 (a decline of 88.1%).
- Per Business Quant data, JRSH's Tax Provisions in the three fiscal quarters before Q1 2027 was $269,521 (Q4 2026), $367,935 (Q3 2026) and $153,756 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 260.00 Mn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 81.00 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 80.00 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 138.13 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 27.40 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 16.21 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | -58.65 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 59.04 Mn |
| 10 | Jerash Holdings (US) | 71.88 Mn | 18.59 Mn | 8.26 Mn | 404,173.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 404,173.00 |
| Mar 31, 2026 | 269,521.00 |
| Dec 31, 2025 | 367,935.00 |
| Sep 30, 2025 | 153,756.00 |
| Jun 30, 2025 | 328,832.00 |
| Mar 31, 2025 | 323,808.00 |
| Dec 31, 2024 | 449,714.00 |
| Sep 30, 2024 | 105,877.00 |
| Jun 30, 2024 | 111,721.00 |
| Mar 31, 2024 | -16,361.00 |
| Dec 31, 2023 | 38,535.00 |
| Sep 30, 2023 | 352,340.00 |
| Jun 30, 2023 | 297,981.00 |
| Mar 31, 2023 | 67,703.00 |
| Dec 31, 2022 | 324,379.00 |
| Sep 30, 2022 | 712,163.00 |
| Jun 30, 2022 | 559,865.00 |
| Mar 31, 2022 | 405,229.00 |
| Dec 31, 2021 | 650,907.00 |
| Sep 30, 2021 | 1.05 Mn |
Jerash Holdings (US) Tax Provisions 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=tax-provisions&ticker=JRSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=JRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();