Pvh (PVH) Non Operating Interest Expenses (2009 - 2026)
Pvh (PVH) posted Non Operating Interest Expenses of $22.3 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), down 13.6% from $25.8 million a year earlier and down 1.8% from the prior quarter.
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Analysis
Pvh (PVH) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 2, 2026, Non Operating Interest Expenses at Pvh was $94 million, up 2.3% year-over-year; for FY2026 (ended Feb 1, 2026), it was $94.2 million, up 4.9% from FY2025.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of -5.6% (FY2021 to FY2026).
- In prior fiscal years, Pvh's Non Operating Interest Expenses was $89.8 million in FY2025 (-9.6%), $99.3 million in FY2024 (+10.8%), $89.6 million in FY2023 (-17.5%) and $108.6 million in FY2022 (-13.5%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Non Operating Interest Expenses since fiscal Q4 2025.
- On a year-over-year basis, Non Operating Interest Expenses increased in 1 of the last four quarters, with an average decline of 4.7%.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was fiscal Q2 2024, with growth of 18.8%; the weakest was fiscal Q4 2022, with a decline of 30.6%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.28 Bn | 23.48 Bn | 4.80 Bn | - |
| 2 | Tapestry | 27.14 Bn | 23.10 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 22.63 Bn | 14.55 Bn | 1.63 Bn | 12.80 Mn |
| 4 | Lululemon Athletica | 12.51 Bn | 6.76 Bn | 1.46 Bn | - |
| 5 | Deckers Outdoor | 11.73 Bn | 4.92 Bn | 895.11 Mn | 1.40 Mn |
| 6 | Levi Strauss | 8.84 Bn | 5.42 Bn | 1.07 Bn | 12.90 Mn |
| 7 | V F | 8.00 Bn | 4.60 Bn | 1.49 Bn | 31.64 Mn |
| 8 | Crocs | 7.20 Bn | 6.60 Bn | 689.73 Mn | 19.06 Mn |
| 9 | Birkenstock Holding | 6.95 Bn | 5.27 Bn | 493.89 Mn | 49.99 Mn |
| 10 | Pvh | 4.13 Bn | 1.72 Bn | 1.32 Bn | 22.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 22.30 Mn |
| May 3, 2026 | 22.70 Mn |
| Feb 1, 2026 | 22.80 Mn |
| Nov 2, 2025 | 23.20 Mn |
| Aug 3, 2025 | 25.80 Mn |
| May 4, 2025 | 22.40 Mn |
| Feb 2, 2025 | 20.70 Mn |
| Nov 3, 2024 | 23.00 Mn |
| Aug 4, 2024 | 22.80 Mn |
| May 5, 2024 | 23.30 Mn |
| Feb 4, 2024 | 23.80 Mn |
| Oct 29, 2023 | 24.30 Mn |
| Jul 30, 2023 | 25.90 Mn |
| Apr 30, 2023 | 25.30 Mn |
| Jan 29, 2023 | 23.70 Mn |
| Oct 30, 2022 | 21.10 Mn |
| Jul 31, 2022 | 21.80 Mn |
| May 1, 2022 | 23.00 Mn |
| Jan 30, 2022 | 24.90 Mn |
| Oct 31, 2021 | 25.90 Mn |
API Access
Pvh Non Operating Interest 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=non-operating-interest-expenses&ticker=PVH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=PVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();