Perfect Moment (PMNT) Non Operating Interest Expenses (2022 - 2026)
Perfect Moment's Non Operating Interest Expenses was $237,000 in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 69.6% from $779,000 a year earlier and down 25.2% from the prior quarter.
Perfect Moment (PMNT) Non Operating Interest Expenses (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Perfect Moment's Non Operating Interest Expenses was $1.74 million through Jun 30, 2026, down 38.4% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $2.28 million, up 11.4% from FY2025.
- Non Operating Interest Expenses shows a three-year compound annual growth rate of 7.4% (FY2023 to FY2026).
- In earlier fiscal years, Non Operating Interest Expenses was $2.05 million in FY2025 (+56.1%), $1.31 million in FY2024 (-28.8%) and $1.84 million in FY2023.
- The fiscal Q1 2027 figure marks the lowest quarterly Non Operating Interest Expenses since fiscal Q2 2025.
- Compared with a year earlier, Non Operating Interest Expenses has declined for three straight quarters, with growth averaging 96.4% over the last seven quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was fiscal Q4 2025 (growth of 466.9%); the worst was fiscal Q1 2025 (a decline of 98.7%).
- Per Business Quant data, PMNT's Non Operating Interest Expenses in the three fiscal quarters before Q1 2027 was $317,000 (Q4 2026), $455,000 (Q3 2026) and $728,000 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | - |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 13.00 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 12.90 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 69.29 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | -49.99 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 19.91 Mn |
| 10 | Perfect Moment | 6.92 Mn | 3.10 Mn | 627,000.00 | 237,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 237,000.00 |
| Mar 31, 2026 | 317,000.00 |
| Dec 31, 2025 | 455,000.00 |
| Sep 30, 2025 | 728,000.00 |
| Jun 30, 2025 | 779,000.00 |
| Mar 31, 2025 | 805,000.00 |
| Dec 31, 2024 | 1.05 Mn |
| Sep 30, 2024 | 188,000.00 |
| Jun 30, 2024 | 5,000.00 |
| Mar 31, 2024 | 142,000.00 |
| Dec 31, 2023 | 403,000.00 |
| Sep 30, 2023 | 392,000.00 |
| Jun 30, 2023 | 374,000.00 |
| Mar 31, 2023 | 429,000.00 |
| Dec 31, 2022 | 489,000.00 |
Perfect Moment Non Operating Interest 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=non-operating-interest-expenses&ticker=PMNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=PMNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();