Perfect Moment (PMNT) Other Accumulated Expenses (2025 - 2026)
Perfect Moment's Other Accumulated Expenses was $1.18 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 18.9% from the prior quarter.
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Analysis
Perfect Moment (PMNT) Other Accumulated Expenses (2025 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Other Accumulated Expenses at Perfect Moment came in at $1.46 million, up 13.0% from FY2025.
- In earlier fiscal years, Other Accumulated Expenses was $1.29 million in FY2025.
- Quarterly Other Accumulated Expenses has moved between $435,000 (fiscal Q3 2026) and $1.46 million (fiscal Q4 2026) over five years.
- Per Business Quant data, PMNT's Other Accumulated Expenses in the three fiscal quarters before Q1 2027 was $1.46 million (Q4 2026), $435,000 (Q3 2026) and $452,000 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn |
| 10 | Perfect Moment | 6.38 Mn | 2.57 Mn | 627,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.18 Mn |
| Mar 31, 2026 | 1.46 Mn |
| Dec 31, 2025 | 435,000.00 |
| Sep 30, 2025 | 452,000.00 |
| Mar 31, 2025 | 1.29 Mn |
API Access
Perfect Moment Other Accumulated 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=other-accumulated-expenses&ticker=PMNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=PMNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();