Pvh (PVH) Prepaid Assets (2009 - 2026)
Pvh's (PVH) quarterly Prepaid Assets came in at $254.4 million in Q3 2026, down 1.55% year-over-year from $258.4 million in Q3 2025, and down 5.15% quarter-over-quarter from $268.2 million in Q2 2026.
Pvh (PVH) Prepaid Assets (2009 - 2026) Analysis & Trends
Pvh (PVH) has reported Prepaid Assets for 18 consecutive years, with $254.4 million the latest figure, recorded in Q3 2026.
- On a quarterly basis, Prepaid Assets fell 1.55% year-over-year to $254.4 million in Q3 2026; TTM through Aug 2026 was $254.4 million, a 1.55% decrease from a year earlier, with the FY2026 full-year figure at $219.0 million, up 4.04% from the prior year.
- Prepaid Assets was $254.4 million for Q3 2026 at Pvh, down from $268.2 million in the prior quarter.
- Over five years, Prepaid Assets peaked at $268.2 million in Q2 2026 and troughed at $169.0 million in Q1 2022.
- A 5-year average of $230.7 million and a median of $234.6 million in 2024 frame the typical range for Prepaid Assets.
- Across the five-year window, Prepaid Assets soared 40.45% in 2022 and declined 11.44% in 2025, its largest moves.
- Over 5 years, Prepaid Assets stood at $210.4 million in 2022, then declined by 0.9% to $208.5 million in 2023, then rose by 6.43% to $221.9 million in 2024, then climbed by 7.3% to $238.1 million in 2025, then climbed by 6.85% to $254.4 million in 2026.
- The last three Prepaid Assets figures came in at $254.4 million (Q3 2026), $268.2 million (Q2 2026), and $219.0 million (Q1 2026), 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 | 254.40 Mn |
| May 3, 2026 | 268.20 Mn |
| Feb 1, 2026 | 219.00 Mn |
| Nov 2, 2025 | 238.10 Mn |
| Aug 3, 2025 | 258.40 Mn |
| May 4, 2025 | 260.40 Mn |
| Feb 2, 2025 | 210.50 Mn |
| Nov 3, 2024 | 221.90 Mn |
| Aug 4, 2024 | 234.60 Mn |
| May 5, 2024 | 263.80 Mn |
| Feb 4, 2024 | 237.70 Mn |
| Oct 29, 2023 | 208.50 Mn |
| Jul 30, 2023 | 256.00 Mn |
| Apr 30, 2023 | 254.40 Mn |
| Jan 29, 2023 | 209.20 Mn |
| Oct 30, 2022 | 210.40 Mn |
| Jul 31, 2022 | 207.40 Mn |
| May 1, 2022 | 200.50 Mn |
| Jan 30, 2022 | 169.00 Mn |
| Oct 31, 2021 | 149.80 Mn |
Pvh Prepaid Assets 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=prepaid-assets&ticker=PVH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=PVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();