Perfect Moment (PMNT) Selling, General & Administrative (2022 - 2026)
Perfect Moment's Selling, General & Administrative was $3.38 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 1.0% from $3.42 million a year earlier and down 36.4% from the prior quarter.
Perfect Moment (PMNT) Selling, General & Administrative (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Perfect Moment's Selling, General & Administrative was $17.97 million through Jun 30, 2026, down 13.6% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $17.97 million, down 13.1% from FY2025.
- Selling, General & Administrative shows a three-year compound annual growth rate of 13.2% (FY2023 to FY2026).
- In earlier fiscal years, Selling, General & Administrative was $20.69 million in FY2025 (+34.9%), $15.33 million in FY2024 (+24.0%) and $12.37 million in FY2023.
- The fiscal Q1 2027 figure marks the lowest quarterly Selling, General & Administrative since fiscal Q1 2025.
- Compared with a year earlier, Selling, General & Administrative has declined for four straight quarters, with growth averaging 16.8% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was fiscal Q4 2024 (growth of 225.8%); the worst was fiscal Q4 2026 (a decline of 22.0%).
- Per Business Quant data, PMNT's Selling, General & Administrative in the three fiscal quarters before Q1 2027 was $5.32 million (Q4 2026), $5.64 million (Q3 2026) and $3.64 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.05 Bn | 18.05 Bn | 5.39 Bn | 4.08 Bn |
| 2 | Tapestry | 23.90 Bn | 19.86 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 21.81 Bn | 13.91 Bn | 1.44 Bn | 1.08 Bn |
| 4 | Deckers Outdoor | 11.33 Bn | 4.20 Bn | - | - |
| 5 | Lululemon Athletica | 10.22 Bn | 4.47 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 7.69 Bn | 4.35 Bn | 979.10 Mn | 843.40 Mn |
| 7 | Gildan Activewear | 6.41 Bn | 5.41 Bn | 459.76 Mn | 193.84 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.37 Bn | 493.89 Mn | -37.80 Mn |
| 9 | Crocs | 5.74 Bn | 5.15 Bn | 700.71 Mn | 415.03 Mn |
| 10 | Perfect Moment | 6.92 Mn | 3.10 Mn | 627,000.00 | 3.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.38 Mn |
| Mar 31, 2026 | 5.32 Mn |
| Dec 31, 2025 | 5.64 Mn |
| Sep 30, 2025 | 3.64 Mn |
| Jun 30, 2025 | 3.42 Mn |
| Mar 31, 2025 | 6.81 Mn |
| Dec 31, 2024 | 6.65 Mn |
| Sep 30, 2024 | 3.92 Mn |
| Jun 30, 2024 | 3.30 Mn |
| Mar 31, 2024 | 8.49 Mn |
| Dec 31, 2023 | 2.66 Mn |
| Sep 30, 2023 | 2.69 Mn |
| Jun 30, 2023 | 2.48 Mn |
| Mar 31, 2023 | 2.61 Mn |
| Dec 31, 2022 | 2.44 Mn |
Perfect Moment Selling, General & Administrative 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=selling-general-and-administrative&ticker=PMNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=PMNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();