Interparfums (IPAR) Net Income (2010 - 2026)
Interparfums' Net Income came in at $36.88 million for Q2 2026, down 10.5% from $41.2 million a year earlier and down 35.0% from the prior quarter.
Interparfums (IPAR) Net Income (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Interparfums reported Net Income of $205.13 million, up 2.5% year-over-year; for FY2025, it came in at $208.15 million, up 2.3% from FY2024.
- Net Income has increased in each of the last five years, with a five-year compound annual growth rate of 33.0% (FY2020 to FY2025).
- Going back by year, Net Income was $203.43 million in FY2024 (+8.3%), $187.78 million in FY2023 (+24.3%), $151.04 million in FY2022 (+37.3%) and $110.03 million in FY2021 (+120.2%).
- The five-year range for quarterly Net Income is -$5.46 million (Q4 2021) to $83.28 million (Q3 2025).
- Year-over-year, Net Income increased in six of the last eight quarters, with growth averaging 29.9%.
- The fastest year-over-year change in Net Income over five years came in Q4 2024 (growth of 224.4%), and the weakest in Q4 2023 (a decline of 51.4%).
- Business Quant data shows IPAR's Net Income at $56.7 million (Q1 2026), $28.27 million (Q4 2025) and $83.28 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 3.08 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 719.00 Mn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | -116.00 Mn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 456.00 Mn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 350.00 Mn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 202.80 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 167.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 66.60 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 138.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 36.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.88 Mn |
| Mar 31, 2026 | 56.70 Mn |
| Dec 31, 2025 | 28.27 Mn |
| Sep 30, 2025 | 83.28 Mn |
| Jun 30, 2025 | 41.20 Mn |
| Mar 31, 2025 | 55.40 Mn |
| Dec 31, 2024 | 26.70 Mn |
| Sep 30, 2024 | 76.84 Mn |
| Jun 30, 2024 | 46.60 Mn |
| Mar 31, 2024 | 53.30 Mn |
| Dec 31, 2023 | 8.23 Mn |
| Sep 30, 2023 | 66.12 Mn |
| Jun 30, 2023 | 42.52 Mn |
| Mar 31, 2023 | 70.91 Mn |
| Dec 31, 2022 | 16.93 Mn |
| Sep 30, 2022 | 53.30 Mn |
| Jun 30, 2022 | 34.52 Mn |
| Mar 31, 2022 | 46.29 Mn |
| Dec 31, 2021 | -5.46 Mn |
| Sep 30, 2021 | 49.83 Mn |
Interparfums Net Income 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-income&ticker=IPAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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-income&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();