Interparfums (IPAR) Gross Margin (2010 - 2026)
Interparfums (IPAR) posted Gross Margin of 65.54% for Q2 2026, down 0.66 percentage points from 66.21% a year earlier but up 0.41 percentage points from the prior quarter.
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Analysis
Interparfums (IPAR) Gross Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Gross Margin at Interparfums was 63.82%, down 0.70 percentage points year-over-year; for FY2025, it came in at 63.64%, down 0.22 percentage points from FY2024.
- Annual Gross Margin shows a five-year change of +2.28 percentage points (FY2020 to FY2025).
- In prior years, Interparfums' Gross Margin was 63.85% in FY2024 (+0.17 pp), 63.68% in FY2023 (-0.23 pp), 63.90% in FY2022 (+0.59 pp) and 63.32% in FY2021 (+1.96 pp).
- Quarterly Gross Margin has run from a low of 60.92% in Q2 2023 to a high of 66.21% in Q2 2025 over five years.
- On a year-over-year basis, Gross Margin increased in three of the last eight quarters, with an average year-over-year change of +0.01 percentage points.
- The strongest year-over-year quarter for Gross Margin in the past five years was Q2 2024, with a gain of 3.58 percentage points; the weakest was Q4 2025, with a drop of 3.01 percentage points.
- According to Business Quant data, Gross Margin for the three prior quarters was 65.13% (Q1 2026), 61.46% (Q4 2025) and 63.51% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 370.08 Bn | 325.83 Bn | 10.28 Bn | 48.50% |
| 2 | Colgate Palmolive | 75.30 Bn | 70.02 Bn | 3.30 Bn | 61.48% |
| 3 | Estee Lauder Companies | 38.33 Bn | 26.41 Bn | 2.74 Bn | 75.46% |
| 4 | Kenvue | 36.86 Bn | 32.48 Bn | 2.30 Bn | 58.18% |
| 5 | Kimberly Clark | 35.80 Bn | 32.99 Bn | 1.60 Bn | 38.27% |
| 6 | Church & Dwight | 24.92 Bn | 23.45 Bn | 693.90 Mn | 45.35% |
| 7 | Clorox | 10.65 Bn | 8.93 Bn | 804.00 Mn | 41.27% |
| 8 | e.l.f. Beauty | 6.76 Bn | 5.74 Bn | 398.84 Mn | 83.20% |
| 9 | Reynolds Consumer Products | 4.81 Bn | 4.47 Bn | 245.00 Mn | 25.95% |
| 10 | Interparfums | 3.72 Bn | 3.31 Bn | 223.53 Mn | 65.54% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.54% |
| Mar 31, 2026 | 65.13% |
| Dec 31, 2025 | 61.46% |
| Sep 30, 2025 | 63.51% |
| Jun 30, 2025 | 66.21% |
| Mar 31, 2025 | 63.74% |
| Dec 31, 2024 | 64.46% |
| Sep 30, 2024 | 63.86% |
| Jun 30, 2024 | 64.51% |
| Mar 31, 2024 | 62.47% |
| Dec 31, 2023 | 64.70% |
| Sep 30, 2023 | 63.87% |
| Jun 30, 2023 | 60.92% |
| Mar 31, 2023 | 65.11% |
| Dec 31, 2022 | 64.38% |
| Sep 30, 2022 | 64.86% |
| Jun 30, 2022 | 62.84% |
| Mar 31, 2022 | 63.29% |
| Dec 31, 2021 | 62.58% |
| Sep 30, 2021 | 63.73% |
API Access
Interparfums Gross 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=gross-margin&ticker=IPAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();