Perfect Moment (PMNT) Price to Book (2024 - 2025)
Perfect Moment's (PMNT) Price to Book was 14.07 for fiscal Q3 2026 (quarter ended Dec 31, 2025), down 22.9% from 18.26 a year earlier and down 10.9% from the prior quarter.
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Analysis
Perfect Moment (PMNT) Price to Book (2024 - 2025) Analysis & Trends
For FY2025 (ended Mar 31, 2025), Price to Book at Perfect Moment was 11.43, up 280.3% from FY2024.
- By fiscal year, Price to Book came in at 3.01 in FY2024.
- Five-year quarterly Price to Book spans a low of 3.01 in fiscal Q4 2024 and a high of 18.26 in fiscal Q3 2025.
- Year over year, Price to Book gained in two of the last four quarters, with growth averaging 93.7%.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 15.80 (Q2 2026), 5.29 (Q1 2026) and 11.43 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn |
| 10 | Perfect Moment | 6.92 Mn | 3.10 Mn | 627,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 14.07 |
| Sep 30, 2025 | 15.80 |
| Jun 30, 2025 | 5.29 |
| Mar 31, 2025 | 11.43 |
| Dec 31, 2024 | 18.26 |
| Sep 30, 2024 | 6.49 |
| Jun 30, 2024 | 7.11 |
| Mar 31, 2024 | 3.01 |
API Access
Perfect Moment Price to Book 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=price-to-book&ticker=PMNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "PMNT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-book&ticker=PMNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();