Interparfums (IPAR) Operating Margin (2010 - 2026)
Interparfums' Operating Margin was 14.35% in Q2 2026, down 3.37 percentage points from 17.72% a year earlier and down 7.14 percentage points from the prior quarter.
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Analysis
Interparfums (IPAR) Operating Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Interparfums' Operating Margin was 17.26% through Jun 30, 2026, down 1.68 percentage points year-over-year; for FY2025, it came in at 18.16%, down 0.76 percentage points from FY2024.
- Operating Margin shows a five-year change of +5.16 percentage points (FY2020 to FY2025).
- In earlier years, Operating Margin was 18.92% in FY2024 (-0.16 pp), 19.08% in FY2023 (+1.20 pp), 17.88% in FY2022 (+1.05 pp) and 16.83% in FY2021 (+3.83 pp).
- Quarterly Operating Margin has moved between -5.79% (Q4 2021) and 28.96% (Q1 2023) over five years.
- Compared with a year earlier, Operating Margin has declined for three straight quarters, with an average year-over-year change of -0.14 percentage points over the last eight quarters.
- The best year-over-year quarter for Operating Margin over five years was Q4 2022 (a gain of 13.26 percentage points); the worst was Q4 2021 (a drop of 20.17 percentage points).
- Per Business Quant data, IPAR's Operating Margin in the three quarters before Q2 2026 was 21.50% (Q1 2026), 7.12% (Q4 2025) and 25.27% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 18.63% |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 18.95% |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | -1.08% |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 17.67% |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 15.11% |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 18.07% |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 24.33% |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 21.37% |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 14.62% |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 14.35% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.35% |
| Mar 31, 2026 | 21.50% |
| Dec 31, 2025 | 7.12% |
| Sep 30, 2025 | 25.27% |
| Jun 30, 2025 | 17.72% |
| Mar 31, 2025 | 22.16% |
| Dec 31, 2024 | 9.96% |
| Sep 30, 2024 | 24.96% |
| Jun 30, 2024 | 18.94% |
| Mar 31, 2024 | 20.98% |
| Dec 31, 2023 | 5.74% |
| Sep 30, 2023 | 23.70% |
| Jun 30, 2023 | 17.79% |
| Mar 31, 2023 | 28.96% |
| Dec 31, 2022 | 7.47% |
| Sep 30, 2022 | 22.99% |
| Jun 30, 2022 | 18.55% |
| Mar 31, 2022 | 24.42% |
| Dec 31, 2021 | -5.79% |
| Sep 30, 2021 | 25.75% |
API Access
Interparfums Operating 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=operating-margin&ticker=IPAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();