Pvh (PVH) Asset Writedowns and Impairment (2009 - 2026)
Pvh's (PVH) quarterly Asset Writedowns and Impairment came in at $439.0 million in Q3 2026, down 8.45% quarter-over-quarter from $479.5 million in Q2 2025.
Pvh (PVH) Asset Writedowns and Impairment (2009 - 2026) Analysis & Trends
Pvh (PVH) has reported Asset Writedowns and Impairment for 17 consecutive years, with $439.0 million the latest figure, recorded in Q3 2026.
- On a quarterly basis, Asset Writedowns and Impairment changed N/A year-over-year to $439.0 million in Q3 2026; TTM through Aug 2026 was $439.0 million, a 10.35% decrease from a year earlier, with the FY2026 full-year figure at $479.5 million, up 4600.98% from the prior year.
- Asset Writedowns and Impairment was $439.0 million for Q3 2026 at Pvh, down from $479.5 million in the prior quarter.
- Over five years, Asset Writedowns and Impairment peaked at $479.5 million in Q2 2025 and troughed at $5.7 million in Q1 2024.
- A 4-year average of $194.8 million and a median of $43.6 million in 2022 frame the typical range for Asset Writedowns and Impairment.
- The widest YoY moves for Asset Writedowns and Impairment: up 78.95% in 2025, down 78.95% in 2025.
- Over 4 years, Asset Writedowns and Impairment stood at $373.5 million in 2022, then slumped by 98.47% to $5.7 million in 2024, then surged by 8312.28% to $479.5 million in 2025, then fell by 8.45% to $439.0 million in 2026.
- The last three Asset Writedowns and Impairment figures came in at $439.0 million (Q3 2026), $479.5 million (Q2 2025), and $10.2 million (Q1 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn |
| 10 | Under Armour | 2.04 Bn | 1.65 Bn | 593.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 439.00 Mn |
| May 4, 2025 | 479.50 Mn |
| Feb 2, 2025 | 10.20 Mn |
| Feb 4, 2024 | 5.70 Mn |
| Oct 30, 2022 | 373.50 Mn |
| Jul 31, 2022 | 43.60 Mn |
| Jan 30, 2022 | 11.90 Mn |
| May 2, 2021 | 28.10 Mn |
| May 3, 2020 | 933.50 Mn |
| Feb 2, 2020 | 20.60 Mn |
| May 5, 2019 | 83.70 Mn |
| Feb 3, 2019 | 13.20 Mn |
| Nov 4, 2018 | 4.70 Mn |
| Feb 4, 2018 | 5.30 Mn |
| Jan 29, 2017 | 3.10 Mn |
| Oct 30, 2016 | 7.00 Mn |
| Jan 31, 2016 | 8.60 Mn |
| Nov 1, 2015 | 1.20 Mn |
| Feb 1, 2015 | 13.00 Mn |
| Nov 2, 2014 | 2.50 Mn |
Pvh Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=PVH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=PVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();