Interparfums (IPAR) Interest Expenses (2010 - 2026)
Interparfums (IPAR) recorded Interest Expenses of $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) Interest Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Interparfums' Interest Expenses came in at $6.81 million as of Jun 30, 2026, down 8.1% year-over-year; for FY2025, it was $7.25 million, down 7.4% from FY2024.
- Annual Interest Expenses has a five-year compound annual growth rate of 29.8% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $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 Interest Expenses has ranged from -$519,000 in Q4 2021 to $4.22 million in Q4 2023 over the past five years.
- On a year-over-year basis, Interest Expenses has declined for three consecutive quarters, with an average decline of 15.3% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 318.1% in Q4 2023, against a decline of 59.8% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $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) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 236.00 Mn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 62.00 Mn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 81.00 Mn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | - |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 53.00 Mn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 24.20 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 55.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | - |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 22.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 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 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=interest-expenses&ticker=IPAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();