Perfect Moment (PMNT) Debt Ratio (2023 - 2026)
Perfect Moment's (PMNT) Debt Ratio was 0.56 for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 176.0% from 0.20 a year earlier and up 33.7% from the prior quarter.
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Analysis
Perfect Moment (PMNT) Debt Ratio (2023 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Debt Ratio at Perfect Moment was 0.42, up 29.0% from FY2025.
- By fiscal year, Debt Ratio came in at 0.33 in FY2025 (-17.8%), 0.40 in FY2024 (-63.8%) and 1.10 in FY2023.
- The fiscal Q1 2027 figure ranks as the highest quarterly Debt Ratio since fiscal Q3 2024.
- Year over year, Debt Ratio gained in three of the last four quarters, with growth averaging 62.1%.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 0.42 (Q4 2026), 0.36 (Q3 2026) and 0.33 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn | 0.21 |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn | 0.16 |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - | - |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn | 0.15 |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 0.37 |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | 0.36 |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | 0.30 |
| 10 | Perfect Moment | 5.57 Mn | 1.75 Mn | 627,000.00 | 0.56 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.56 |
| Mar 31, 2026 | 0.42 |
| Dec 31, 2025 | 0.36 |
| Sep 30, 2025 | 0.33 |
| Jun 30, 2025 | 0.20 |
| Mar 31, 2025 | 0.33 |
| Sep 30, 2024 | 0.20 |
| Mar 31, 2024 | 0.40 |
| Dec 31, 2023 | 0.98 |
| Mar 31, 2023 | 1.10 |
API Access
Perfect Moment Debt Ratio 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=debt-ratio&ticker=PMNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=PMNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();