Perfect Moment (PMNT) Depreciation and Depletion (2022 - 2025)
Perfect Moment (PMNT) reported Depreciation and Depletion of $323,000 for FY2026 (year ended Mar 31, 2026), down 5.6% from $342,000 in FY2025.
Analysis
Perfect Moment (PMNT) Depreciation and Depletion (2022 - 2025) Analysis & Trends
Dating back to FY2023, Perfect Moment's Depreciation and Depletion record includes 4 fiscal years.
- Depreciation and Depletion has declined for three consecutive fiscal years, with a three-year compound annual growth rate of -91.6% (FY2023 to FY2026).
- According to Business Quant data, Depreciation and Depletion came in at $342,000 in FY2025 (-38.4%), $555,000 in FY2024 (-99.9%) and $547 million in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.05 Bn | 18.05 Bn | 5.39 Bn | - |
| 2 | Tapestry | 23.90 Bn | 19.86 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.81 Bn | 13.91 Bn | 1.44 Bn | 56.50 Mn |
| 4 | Deckers Outdoor | 11.33 Bn | 4.20 Bn | - | - |
| 5 | Lululemon Athletica | 10.22 Bn | 4.47 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.69 Bn | 4.35 Bn | 979.10 Mn | - |
| 7 | Gildan Activewear | 6.41 Bn | 5.41 Bn | 459.76 Mn | - |
| 8 | Birkenstock Holding | 6.07 Bn | 4.37 Bn | 493.89 Mn | - |
| 9 | Crocs | 5.74 Bn | 5.15 Bn | 700.71 Mn | - |
| 10 | Perfect Moment | 6.92 Mn | 3.10 Mn | 627,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 60,000.00 |
| Dec 31, 2024 | 71,000.00 |
| Sep 30, 2024 | 106,000.00 |
| Jun 30, 2024 | 105,000.00 |
| Mar 31, 2024 | 123,000.00 |
| Dec 31, 2023 | 158,000.00 |
| Sep 30, 2023 | 162,000.00 |
| Jun 30, 2023 | 139,000.00 |
| Mar 31, 2023 | 546.60 Mn |
| Dec 31, 2022 | 134,000.00 |
API Access
Perfect Moment Depreciation and Depletion 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=depreciation-and-depletion&ticker=PMNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=PMNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();