Interparfums (IPAR) Revenue (2010 - 2026)
Interparfums' Revenue came in at $341.04 million for Q2 2026, up 2.1% from $333.94 million a year earlier but down 1.1% from the prior quarter.
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Analysis
Interparfums (IPAR) Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Interparfums reported Revenue of $1.5 billion, up 2.9% year-over-year; for FY2025, it was $1.49 billion, up 2.5% from FY2024.
- Revenue has increased in each of the last five years, with a five-year compound annual growth rate of 22.5% (FY2020 to FY2025).
- Going back by year, Revenue was $1.45 billion in FY2024 (+10.2%), $1.32 billion in FY2023 (+21.3%), $1.09 billion in FY2022 (+23.6%) and $879.52 million in FY2021 (+63.2%).
- The five-year range for quarterly Revenue is $210.72 million (Q4 2021) to $429.58 million (Q3 2025).
- Year-over-year, Revenue has increased for four consecutive quarters, with growth averaging 4.9% over the last eight quarters.
- The fastest year-over-year change in Revenue over five years came in Q3 2021 (growth of 63.5%), and the weakest in Q2 2025 (a decline of 2.4%).
- Business Quant data shows IPAR's Revenue at $344.89 million (Q1 2026), $386.18 million (Q4 2025) and $429.58 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 21.20 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 5.36 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 3.63 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 3.96 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 4.19 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 1.53 Bn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 1.95 Bn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 479.37 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 944.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 341.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 341.04 Mn |
| Mar 31, 2026 | 344.89 Mn |
| Dec 31, 2025 | 386.18 Mn |
| Sep 30, 2025 | 429.58 Mn |
| Jun 30, 2025 | 333.94 Mn |
| Mar 31, 2025 | 338.82 Mn |
| Dec 31, 2024 | 361.50 Mn |
| Sep 30, 2024 | 424.63 Mn |
| Jun 30, 2024 | 342.23 Mn |
| Mar 31, 2024 | 323.96 Mn |
| Dec 31, 2023 | 328.74 Mn |
| Sep 30, 2023 | 367.97 Mn |
| Jun 30, 2023 | 309.24 Mn |
| Mar 31, 2023 | 311.72 Mn |
| Dec 31, 2022 | 310.79 Mn |
| Sep 30, 2022 | 280.46 Mn |
| Jun 30, 2022 | 244.73 Mn |
| Mar 31, 2022 | 250.68 Mn |
| Dec 31, 2021 | 210.72 Mn |
| Sep 30, 2021 | 262.70 Mn |
API Access
Interparfums Revenue 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=revenue&ticker=IPAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();