Pvh (PVH) Total Non-Current Liabilities (2009 - 2026)
Pvh (PVH) reported Total Non-Current Liabilities of $6.22 billion for fiscal Q2 2027 (quarter ended Aug 2, 2026), down 2.1% from $6.35 billion a year earlier but up 5.7% from the prior quarter.
Pvh (PVH) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Pvh posted Total Non-Current Liabilities of $6.32 billion, up 18.4% from FY2025.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -3.4% (FY2021 to FY2026).
- By fiscal year, Total Non-Current Liabilities came in at $5.33 billion in FY2025 (-1.9%), $5.44 billion in FY2024 (-10.6%), $6.08 billion in FY2023 (-3.7%) and $6.32 billion in FY2022 (-16.0%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $5.12 billion in fiscal Q1 2025 and a high of $6.55 billion in fiscal Q3 2022.
- Year over year, Total Non-Current Liabilities gained in five of the last eight quarters, with growth averaging 7.0%.
- The high point for year-over-year Total Non-Current Liabilities in five years was fiscal Q4 2026 (growth of 18.4%); the low point was fiscal Q4 2022 (a decline of 16.0%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $5.88 billion (Q1 2027), $6.32 billion (Q4 2026) and $6.14 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | - |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 5.46 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 4.76 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 384.05 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 3.63 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 4.12 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 4.37 Bn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 2.75 Bn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 2.33 Bn |
| 10 | Pvh | 3.42 Bn | 999.79 Mn | 1.32 Bn | 6.22 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 6.22 Bn |
| May 3, 2026 | 5.88 Bn |
| Feb 1, 2026 | 6.32 Bn |
| Nov 2, 2025 | 6.14 Bn |
| Aug 3, 2025 | 6.35 Bn |
| May 4, 2025 | 5.54 Bn |
| Feb 2, 2025 | 5.33 Bn |
| Nov 3, 2024 | 5.40 Bn |
| Aug 4, 2024 | 5.50 Bn |
| May 5, 2024 | 5.12 Bn |
| Feb 4, 2024 | 5.44 Bn |
| Oct 29, 2023 | 5.50 Bn |
| Jul 30, 2023 | 5.88 Bn |
| Apr 30, 2023 | 5.71 Bn |
| Jan 29, 2023 | 6.08 Bn |
| Oct 30, 2022 | 5.88 Bn |
| Jul 31, 2022 | 5.93 Bn |
| May 1, 2022 | 5.82 Bn |
| Jan 30, 2022 | 6.32 Bn |
| Oct 31, 2021 | 6.55 Bn |
Pvh 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=PVH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "PVH", "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=PVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();