Perfect Moment (PMNT) Operating Expenses (2022 - 2026)
Perfect Moment's Operating Expenses was $3.89 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 1.4% from $3.94 million a year earlier and down 39.0% from the prior quarter.
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Analysis
Perfect Moment (PMNT) Operating Expenses (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Perfect Moment's Operating Expenses was $21.18 million through Jun 30, 2026, down 13.2% year-over-year; for FY2026 (ended Mar 31, 2026), it was $21.2 million, down 12.5% from FY2025.
- Operating Expenses shows a three-year compound annual growth rate of 6.8% (FY2023 to FY2026).
- In earlier fiscal years, Operating Expenses was $24.23 million in FY2025 (+20.4%), $20.12 million in FY2024 (+15.7%) and $17.38 million in FY2023.
- The fiscal Q1 2027 figure marks the lowest quarterly Operating Expenses since fiscal Q1 2025.
- Compared with a year earlier, Operating Expenses has declined for four straight quarters, with growth averaging 6.7% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2024 (growth of 136.6%); the worst was fiscal Q4 2026 (a decline of 21.9%).
- Per Business Quant data, PMNT's Operating Expenses in the three fiscal quarters before Q1 2027 was $6.37 million (Q4 2026), $6.93 million (Q3 2026) and $4 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn | 3.91 Bn |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn | 1.10 Bn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - | - |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn | 843.50 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 1.75 Bn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | 283.86 Mn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | 37.80 Mn |
| 10 | Perfect Moment | 5.57 Mn | 1.75 Mn | 627,000.00 | 3.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.89 Mn |
| Mar 31, 2026 | 6.37 Mn |
| Dec 31, 2025 | 6.93 Mn |
| Sep 30, 2025 | 4.00 Mn |
| Jun 30, 2025 | 3.94 Mn |
| Mar 31, 2025 | 8.16 Mn |
| Dec 31, 2024 | 7.68 Mn |
| Sep 30, 2024 | 4.63 Mn |
| Jun 30, 2024 | 3.75 Mn |
| Mar 31, 2024 | 10.20 Mn |
| Dec 31, 2023 | 4.14 Mn |
| Sep 30, 2023 | 3.58 Mn |
| Jun 30, 2023 | 3.19 Mn |
| Mar 31, 2023 | 4.31 Mn |
| Dec 31, 2022 | 3.88 Mn |
API Access
Perfect Moment Operating 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=operating-expenses&ticker=PMNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=PMNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();