Interparfums (IPAR) Shares Outstanding (Entity) (2010 - 2026)
Interparfums' Shares Outstanding (Entity) came in at 32.03 million for Q2 2026, down 0.3% from 32.12 million a year earlier and unchanged from the prior quarter.
Interparfums (IPAR) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
For FY2025, Interparfums' Shares Outstanding (Entity) was 32.07 million, down 0.1% from FY2024.
- Shares Outstanding (Entity) carries a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Entity) was 32.11 million in FY2024 (+0.3%), 32 million in FY2023 (+0.1%), 31.97 million in FY2022 (+0.4%) and 31.83 million in FY2021 (+0.7%).
- The five-year range for quarterly Shares Outstanding (Entity) is 31.72 million (Q3 2021) to 32.12 million (Q1 2025).
- Year-over-year, Shares Outstanding (Entity) has declined for three consecutive quarters, with growth averaging 0.1% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Entity) over five years came in Q4 2021 (growth of 0.7%), and the weakest in Q1 2026 (a decline of 0.3%).
- Business Quant data shows IPAR's Shares Outstanding (Entity) at 32.03 million (Q1 2026), 32.07 million (Q4 2025) and 32.06 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 2.32 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 797.17 Mn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 362.30 Mn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 1.92 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 332.60 Mn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 237.20 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 120.93 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 58.94 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 210.80 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 32.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.03 Mn |
| Mar 31, 2026 | 32.03 Mn |
| Dec 31, 2025 | 32.07 Mn |
| Sep 30, 2025 | 32.06 Mn |
| Jun 30, 2025 | 32.12 Mn |
| Mar 31, 2025 | 32.12 Mn |
| Dec 31, 2024 | 32.11 Mn |
| Sep 30, 2024 | 32.03 Mn |
| Jun 30, 2024 | 32.02 Mn |
| Mar 31, 2024 | 32.02 Mn |
| Dec 31, 2023 | 32.00 Mn |
| Sep 30, 2023 | 31.98 Mn |
| Jun 30, 2023 | 31.98 Mn |
| Mar 31, 2023 | 32.01 Mn |
| Dec 31, 2022 | 31.97 Mn |
| Sep 30, 2022 | 31.88 Mn |
| Jun 30, 2022 | 31.85 Mn |
| Mar 31, 2022 | 31.84 Mn |
| Dec 31, 2021 | 31.83 Mn |
| Sep 30, 2021 | 31.72 Mn |
Interparfums Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=IPAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();