Interparfums (IPAR) Common Equity (2010 - 2026)
Interparfums (IPAR) posted Common Equity of $1.09 billion for Q2 2026, up 3.2% from $1.06 billion a year earlier but down 2.0% from the prior quarter.
Interparfums (IPAR) Common Equity (2010 - 2026) Analysis & Trends
At the end of FY2025, Interparfums' Common Equity came in at $1.1 billion, up 17.1% from FY2024.
- Annual Common Equity has increased for ten consecutive years, with a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- In prior years, Interparfums' Common Equity was $942.65 million in FY2024 (+5.7%), $892.17 million in FY2023 (+13.2%), $788.15 million in FY2022 (+6.7%) and $738.33 million in FY2021 (+5.1%).
- Quarterly Common Equity has run from a low of $723.01 million in Q2 2022 to a high of $1.11 billion in Q1 2026 over five years.
- On a year-over-year basis, Common Equity has increased in each of the last 15 quarters, with growth averaging 11.1% over the last eight quarters.
- The strongest year-over-year quarter for Common Equity in the past five years was Q3 2023, with growth of 20.1%; the weakest was Q3 2022, with a decline of 3.9%.
- According to Business Quant data, Common Equity for the three prior quarters was $1.11 billion (Q1 2026), $1.1 billion (Q4 2025) and $1.1 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Common Equity (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 54.31 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 566.00 Mn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 3.81 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 10.55 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 1.87 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 4.35 Bn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 252.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 1.17 Bn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 2.31 Bn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 1.09 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.09 Bn |
| Mar 31, 2026 | 1.11 Bn |
| Dec 31, 2025 | 1.10 Bn |
| Sep 30, 2025 | 1.10 Bn |
| Jun 30, 2025 | 1.06 Bn |
| Mar 31, 2025 | 1.01 Bn |
| Dec 31, 2024 | 942.65 Mn |
| Sep 30, 2024 | 985.13 Mn |
| Jun 30, 2024 | 901.21 Mn |
| Mar 31, 2024 | 907.89 Mn |
| Dec 31, 2023 | 892.17 Mn |
| Sep 30, 2023 | 876.87 Mn |
| Jun 30, 2023 | 846.93 Mn |
| Mar 31, 2023 | 849.61 Mn |
| Dec 31, 2022 | 788.15 Mn |
| Sep 30, 2022 | 730.15 Mn |
| Jun 30, 2022 | 723.01 Mn |
| Mar 31, 2022 | 758.24 Mn |
| Dec 31, 2021 | 738.33 Mn |
| Sep 30, 2021 | 759.80 Mn |
Interparfums Common Equity 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=common-equity&ticker=IPAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "common-equity", "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=common-equity&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();