Interparfums (IPAR) Net Margin (2010 - 2026)
Interparfums (IPAR) reported Net Margin of 8.94% for Q2 2026, down 0.64 percentage points from 9.58% a year earlier and down 3.63 percentage points from the prior quarter.
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Analysis
Interparfums (IPAR) Net Margin (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Interparfums' Net Margin came in at 11.17%, up 0.14 percentage points year-over-year; for FY2025, it was 11.31%, unchanged from FY2024.
- Net Margin has a five-year change of +4.22 percentage points (FY2020 to FY2025).
- By year, Net Margin came in at 11.32% in FY2024 (-0.27 pp), 11.59% in FY2023 (+0.46 pp), 11.13% in FY2022 (+1.19 pp) and 9.94% in FY2021 (+2.85 pp).
- Five-year quarterly Net Margin spans a low of -0.58% in Q4 2021 and a high of 17.34% in Q1 2023.
- Year over year, Net Margin gained in five of the last eight quarters, with an average year-over-year change of +0.38 percentage points.
- The high point for year-over-year Net Margin in five years was Q4 2022 (a gain of 5.92 percentage points); the low point was Q4 2021 (a drop of 8.59 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 12.57% (Q1 2026), 7.28% (Q4 2025) and 15.32% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 371.53 Bn | 327.28 Bn | 10.28 Bn | 14.36% |
| 2 | Colgate Palmolive | 75.49 Bn | 70.22 Bn | 3.30 Bn | 12.93% |
| 3 | Estee Lauder Companies | 38.41 Bn | 26.49 Bn | 2.74 Bn | -3.20% |
| 4 | Kenvue | 37.04 Bn | 32.65 Bn | 2.30 Bn | 11.53% |
| 5 | Kimberly Clark | 35.98 Bn | 33.18 Bn | 1.60 Bn | 8.24% |
| 6 | Church & Dwight | 25.05 Bn | 23.58 Bn | 693.90 Mn | 13.25% |
| 7 | Clorox | 10.64 Bn | 8.92 Bn | 804.00 Mn | 8.37% |
| 8 | e.l.f. Beauty | 6.78 Bn | 5.75 Bn | 398.84 Mn | 13.89% |
| 9 | Reynolds Consumer Products | 4.84 Bn | 4.50 Bn | 245.00 Mn | 9.43% |
| 10 | Interparfums | 3.71 Bn | 3.30 Bn | 223.53 Mn | 8.94% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.94% |
| Mar 31, 2026 | 12.57% |
| Dec 31, 2025 | 7.28% |
| Sep 30, 2025 | 15.32% |
| Jun 30, 2025 | 9.58% |
| Mar 31, 2025 | 12.54% |
| Dec 31, 2024 | 6.70% |
| Sep 30, 2024 | 14.66% |
| Jun 30, 2024 | 10.76% |
| Mar 31, 2024 | 12.67% |
| Dec 31, 2023 | 3.17% |
| Sep 30, 2023 | 14.46% |
| Jun 30, 2023 | 11.30% |
| Mar 31, 2023 | 17.34% |
| Dec 31, 2022 | 5.34% |
| Sep 30, 2022 | 14.77% |
| Jun 30, 2022 | 11.28% |
| Mar 31, 2022 | 14.08% |
| Dec 31, 2021 | -0.58% |
| Sep 30, 2021 | 14.59% |
API Access
Interparfums Net 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=net-margin&ticker=IPAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();