Interparfums (IPAR) EBITDA Margin (2010 - 2026)
Interparfums (IPAR) posted EBITDA Margin of 16.06% for Q2 2026, down 3.57 percentage points from 19.63% a year earlier and down 7.12 percentage points from the prior quarter.
Interparfums (IPAR) EBITDA Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at Interparfums was 18.90%, down 2.00 percentage points year-over-year; for FY2025, it was 19.86%, down 1.01 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of +5.18 percentage points (FY2020 to FY2025).
- In prior years, Interparfums' EBITDA Margin was 20.87% in FY2024 (+0.48 pp), 20.39% in FY2023 (+0.44 pp), 19.96% in FY2022 (+1.68 pp) and 18.28% in FY2021 (+3.59 pp).
- Quarterly EBITDA Margin has run from a low of -3.22% in Q4 2021 to a high of 30.28% in Q1 2023 over five years.
- On a year-over-year basis, EBITDA Margin has declined in each of the last three quarters, with an average year-over-year change of -0.09 percentage points over the last eight quarters.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q4 2022, with a gain of 14.42 percentage points; the weakest was Q4 2021, with a drop of 18.86 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was 23.18% (Q1 2026), 8.80% (Q4 2025) and 26.79% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 22.46% |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 21.84% |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 4.38% |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 21.34% |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 19.10% |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 25.03% |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 28.34% |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 26.81% |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 18.01% |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 16.06% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.06% |
| Mar 31, 2026 | 23.18% |
| Dec 31, 2025 | 8.80% |
| Sep 30, 2025 | 26.79% |
| Jun 30, 2025 | 19.63% |
| Mar 31, 2025 | 23.91% |
| Dec 31, 2024 | 12.77% |
| Sep 30, 2024 | 26.42% |
| Jun 30, 2024 | 20.70% |
| Mar 31, 2024 | 22.84% |
| Dec 31, 2023 | 7.13% |
| Sep 30, 2023 | 24.90% |
| Jun 30, 2023 | 19.17% |
| Mar 31, 2023 | 30.28% |
| Dec 31, 2022 | 11.20% |
| Sep 30, 2022 | 24.46% |
| Jun 30, 2022 | 20.05% |
| Mar 31, 2022 | 25.67% |
| Dec 31, 2021 | -3.22% |
| Sep 30, 2021 | 26.64% |
Interparfums EBITDA Margin 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-margin&ticker=IPAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();