Interparfums (IPAR) Non Operating Interest Expenses (2010 - 2026)
Interparfums' Non Operating Interest Expenses was $1.46 million in Q2 2026, down 18.5% from $1.79 million a year earlier but up 1.6% from the prior quarter.
Interparfums (IPAR) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Interparfums' Non Operating Interest Expenses was $6.81 million through Jun 30, 2026, down 8.1% year-over-year; for FY2025, it came in at $7.25 million, down 7.4% from FY2024.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 29.8% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $7.83 million in FY2024 (-30.5%), $11.25 million in FY2023 (+212.7%), $3.6 million in FY2022 (+27.4%) and $2.83 million in FY2021 (+43.4%).
- Quarterly Non Operating Interest Expenses has moved between -$519,000 (Q4 2021) and $4.22 million (Q4 2023) over five years.
- Compared with a year earlier, Non Operating Interest Expenses has declined for three straight quarters, with an average decline of 15.3% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q4 2023 (growth of 318.1%); the worst was Q3 2022 (a decline of 59.8%).
- Per Business Quant data, IPAR's Non Operating Interest Expenses in the three quarters before Q2 2026 was $1.43 million (Q1 2026), $1.61 million (Q4 2025) and $2.31 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 236.00 Mn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 62.00 Mn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | - |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | 81.00 Mn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 53.00 Mn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 24.20 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 55.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | - |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | 22.00 Mn |
| 10 | Interparfums | 3.55 Bn | 3.36 Bn | 223.53 Mn | 1.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.46 Mn |
| Mar 31, 2026 | 1.43 Mn |
| Dec 31, 2025 | 1.61 Mn |
| Sep 30, 2025 | 2.31 Mn |
| Jun 30, 2025 | 1.79 Mn |
| Mar 31, 2025 | 1.55 Mn |
| Dec 31, 2024 | 2.10 Mn |
| Sep 30, 2024 | 1.98 Mn |
| Jun 30, 2024 | 1.94 Mn |
| Mar 31, 2024 | 1.81 Mn |
| Dec 31, 2023 | 4.22 Mn |
| Sep 30, 2023 | 2.40 Mn |
| Jun 30, 2023 | 2.28 Mn |
| Mar 31, 2023 | 2.36 Mn |
| Dec 31, 2022 | 1.01 Mn |
| Sep 30, 2022 | 682,000.00 |
| Jun 30, 2022 | 1.02 Mn |
| Mar 31, 2022 | 883,000.00 |
| Dec 31, 2021 | -519,000.00 |
| Sep 30, 2021 | 1.70 Mn |
Interparfums 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=IPAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "IPAR", "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=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();