Interparfums (IPAR) Retained Earnings (2010 - 2026)
Interparfums' Retained Earnings was $838.59 million in Q2 2026, up 6.6% from $787.03 million a year earlier but down 1.0% from the prior quarter.
Interparfums (IPAR) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Retained Earnings at Interparfums came in at $828.91 million, up 8.6% from FY2024.
- Retained Earnings has now increased for 15 consecutive years, with a five-year compound annual growth rate of 10.5% (FY2020 to FY2025).
- In earlier years, Retained Earnings was $763.24 million in FY2024 (+10.0%), $693.85 million in FY2023 (+11.9%), $620.1 million in FY2022 (+10.6%) and $560.66 million in FY2021 (+11.3%).
- Quarterly Retained Earnings has moved between $560.66 million (Q4 2021) and $846.63 million (Q1 2026) over five years.
- Compared with a year earlier, Retained Earnings has increased for 29 straight quarters, with growth averaging 8.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Retained Earnings ranged from 6.6% (Q2 2026) to 16.6% (Q3 2021).
- Per Business Quant data, IPAR's Retained Earnings in the three quarters before Q2 2026 was $846.63 million (Q1 2026), $828.91 million (Q4 2025) and $826.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 135.85 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 27.09 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 11.34 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | -70.00 Mn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 9.77 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 7.04 Bn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 386.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | -89.33 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 853.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 838.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 838.59 Mn |
| Mar 31, 2026 | 846.63 Mn |
| Dec 31, 2025 | 828.91 Mn |
| Sep 30, 2025 | 826.96 Mn |
| Jun 30, 2025 | 787.03 Mn |
| Mar 31, 2025 | 780.34 Mn |
| Dec 31, 2024 | 763.24 Mn |
| Sep 30, 2024 | 762.83 Mn |
| Jun 30, 2024 | 724.27 Mn |
| Mar 31, 2024 | 711.04 Mn |
| Dec 31, 2023 | 693.85 Mn |
| Sep 30, 2023 | 703.09 Mn |
| Jun 30, 2023 | 669.69 Mn |
| Mar 31, 2023 | 654.44 Mn |
| Dec 31, 2022 | 620.10 Mn |
| Sep 30, 2022 | 618.88 Mn |
| Jun 30, 2022 | 593.37 Mn |
| Mar 31, 2022 | 580.09 Mn |
| Dec 31, 2021 | 560.66 Mn |
| Sep 30, 2021 | 569.35 Mn |
Interparfums Retained Earnings 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=retained-earnings&ticker=IPAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();