Perfect Moment (PMNT) EBITDA (2022 - 2026)
Perfect Moment (PMNT) recorded EBITDA of -$3.2 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with -$2.92 million a year earlier.
Perfect Moment (PMNT) EBITDA (2022 - 2026) Analysis & Trends
On a TTM basis, Perfect Moment's EBITDA came in at -$5.19 million as of Jun 30, 2026; for FY2026 (ended Mar 31, 2026), it was -$4.92 million.
- Across earlier fiscal years, EBITDA came in at -$13.45 million in FY2025, -$7.12 million in FY2024 and -$8.08 million in FY2023.
- The fiscal Q1 2027 figure is the lowest quarterly EBITDA since fiscal Q4 2025.
- Per Business Quant, the preceding three fiscal quarters came in at -$1.58 million (Q4 2026), $656,000 (Q3 2026) and -$1.07 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn | 1.08 Bn |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn | 500.90 Mn |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn | 401.30 Mn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - | - |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn | 595.99 Mn |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn | 277.10 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | -25.29 Mn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | 244.22 Mn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | 326.23 Mn |
| 10 | Perfect Moment | 5.57 Mn | 1.75 Mn | 627,000.00 | -3.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.14 Mn |
| Mar 31, 2026 | -1.41 Mn |
| Dec 31, 2025 | 948,000.00 |
| Sep 30, 2025 | -433,000.00 |
| Jun 30, 2025 | -2.17 Mn |
| Mar 31, 2025 | -5.86 Mn |
| Dec 31, 2024 | -242,000.00 |
| Sep 30, 2024 | -2.45 Mn |
| Jun 30, 2024 | -3.29 Mn |
| Mar 31, 2024 | -5.27 Mn |
| Dec 31, 2023 | 1.01 Mn |
| Sep 30, 2023 | 30,000.00 |
| Jun 30, 2023 | -2.39 Mn |
| Mar 31, 2023 | -2.34 Mn |
| Dec 31, 2022 | 2.45 Mn |
Perfect Moment EBITDA 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=ebitda&ticker=PMNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PMNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();