Interparfums (IPAR) Profit After Tax (2010 - 2026)
Interparfums (IPAR) recorded Profit After Tax of $36.88 million in Q2 2026, down 10.5% from $41.2 million a year earlier and down 35.0% from the prior quarter.
Interparfums (IPAR) Profit After Tax (2010 - 2026) Analysis & Trends
On a TTM basis, Interparfums' Profit After Tax came in at $205.13 million as of Jun 30, 2026, up 2.5% year-over-year; for FY2025, it came in at $208.15 million, up 2.3% from FY2024.
- Annual Profit After Tax has increased for five straight years, with a five-year compound annual growth rate of 33.0% (FY2020 to FY2025).
- Across earlier years, Profit After Tax came in at $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%).
- Quarterly Profit After Tax has ranged from -$5.46 million in Q4 2021 to $83.28 million in Q3 2025 over the past five years.
- On a year-over-year basis, Profit After Tax rose in six of the last eight quarters, with growth averaging 29.9%.
- Peak year-over-year performance for Profit After Tax in the last five years was growth of 224.4% in Q4 2024, against a decline of 51.4% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $56.7 million (Q1 2026), $28.27 million (Q4 2025) and $83.28 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PAT (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 3.08 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 719.00 Mn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | 456.00 Mn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | -116.00 Mn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 355.00 Mn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 202.80 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 167.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | 66.60 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | 89.00 Mn |
| 10 | Interparfums | 3.55 Bn | 3.36 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 Profit After Tax 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=profit-after-tax&ticker=IPAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();