Perfect Moment (PMNT) Cost of Revenue (2022 - 2026)
Perfect Moment's Cost of Revenue came in at $523,000 for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 10.3% from $583,000 a year earlier and down 46.1% from the prior quarter.
Perfect Moment (PMNT) Cost of Revenue (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Perfect Moment reported Cost of Revenue of $7.54 million, down 31.7% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $7.64 million, down 31.0% from FY2025.
- Cost of Revenue has declined in each of the last three fiscal years, with a three-year compound annual growth rate of -19.6% (FY2023 to FY2026).
- Going back by fiscal year, Cost of Revenue was $11.07 million in FY2025 (-7.7%), $12 million in FY2024 (-18.3%) and $14.68 million in FY2023.
- The fiscal Q1 2027 figure represents the lowest quarterly Cost of Revenue since fiscal Q4 2024.
- Year-over-year, Cost of Revenue has declined for three consecutive quarters, with an average decline of 23.8% over the last seven quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in fiscal Q1 2025 (growth of 22.1%), and the weakest in fiscal Q4 2024 (a decline of 98.5%).
- Business Quant data shows PMNT's Cost of Revenue at $970,000 (Q4 2026), $4.15 million (Q3 2026) and $1.9 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 6.42 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 313.00 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 515.60 Mn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 953.75 Mn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 582.90 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 1.12 Bn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 342.46 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 478.76 Mn |
| 10 | Perfect Moment | 6.38 Mn | 2.57 Mn | 627,000.00 | 523,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 523,000.00 |
| Mar 31, 2026 | 970,000.00 |
| Dec 31, 2025 | 4.15 Mn |
| Sep 30, 2025 | 1.90 Mn |
| Jun 30, 2025 | 583,000.00 |
| Mar 31, 2025 | 3.43 Mn |
| Dec 31, 2024 | 5.27 Mn |
| Sep 30, 2024 | 1.76 Mn |
| Jun 30, 2024 | 618,000.00 |
| Mar 31, 2024 | 35,000.00 |
| Dec 31, 2023 | 7.86 Mn |
| Sep 30, 2023 | 2.61 Mn |
| Jun 30, 2023 | 506,000.00 |
| Mar 31, 2023 | 2.36 Mn |
| Dec 31, 2022 | 9.94 Mn |
Perfect Moment Cost of Revenue 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=cost-of-revenue&ticker=PMNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=PMNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();