Jerash Holdings (US) (JRSH) Total Liabilities (2017 - 2026)
Jerash Holdings (US) (JRSH) recorded Total Liabilities of $21.22 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 12.0% from $18.95 million a year earlier but down 14.9% from the prior quarter.
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Analysis
Jerash Holdings (US) (JRSH) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Jerash Holdings (US) reported Total Liabilities of $24.94 million, up 24.1% from FY2025.
- Annual Total Liabilities has increased for three straight fiscal years, with a five-year compound annual growth rate of 8.2% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $20.11 million in FY2025 (+27.1%), $15.81 million in FY2024 (+2.1%), $15.49 million in FY2023 (-3.3%) and $16.01 million in FY2022 (-5.0%).
- Quarterly Total Liabilities has ranged from $9.55 million in fiscal Q3 2024 to $24.94 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Total Liabilities has increased for eight consecutive quarters, with growth averaging 34.5% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 74.4% in fiscal Q3 2025, against a decline of 52.4% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $24.94 million (Q4 2026), $20.56 million (Q3 2026) and $20.49 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 23.55 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 6.00 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 4.94 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 1.19 Bn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 3.69 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 4.36 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 7.74 Bn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 3.33 Bn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 2.97 Bn |
| 10 | Jerash Holdings (US) | 71.88 Mn | 18.59 Mn | 8.26 Mn | 21.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.22 Mn |
| Mar 31, 2026 | 24.94 Mn |
| Dec 31, 2025 | 20.56 Mn |
| Sep 30, 2025 | 20.49 Mn |
| Jun 30, 2025 | 18.95 Mn |
| Mar 31, 2025 | 20.11 Mn |
| Dec 31, 2024 | 16.65 Mn |
| Sep 30, 2024 | 16.89 Mn |
| Jun 30, 2024 | 13.73 Mn |
| Mar 31, 2024 | 15.81 Mn |
| Dec 31, 2023 | 9.55 Mn |
| Sep 30, 2023 | 10.88 Mn |
| Jun 30, 2023 | 14.07 Mn |
| Mar 31, 2023 | 15.49 Mn |
| Dec 31, 2022 | 20.06 Mn |
| Sep 30, 2022 | 22.38 Mn |
| Jun 30, 2022 | 15.71 Mn |
| Mar 31, 2022 | 16.01 Mn |
| Dec 31, 2021 | 12.84 Mn |
| Sep 30, 2021 | 14.79 Mn |
API Access
Jerash Holdings (US) Total 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-liabilities&ticker=JRSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=JRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();