Interparfums (IPAR) EBT (2010 - 2026)
Interparfums (IPAR) posted EBT of $48.25 million for Q2 2026, down 10.9% from $54.13 million a year earlier and down 35.8% from the prior quarter.
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Analysis
Interparfums (IPAR) EBT (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBT at Interparfums was $267.25 million, up 1.0% year-over-year; for FY2025, it came in at $271.33 million, up 1.1% from FY2024.
- Annual EBT has increased for five consecutive years, with a five-year compound annual growth rate of 31.4% (FY2020 to FY2025).
- In prior years, Interparfums' EBT was $268.39 million in FY2024 (+7.5%), $249.59 million in FY2023 (+28.5%), $194.22 million in FY2022 (+28.6%) and $151.02 million in FY2021 (+117.8%).
- Quarterly EBT has run from a low of -$9.58 million in Q4 2021 to a high of $107.56 million in Q3 2025 over five years.
- On a year-over-year basis, EBT increased in five of the last eight quarters, with growth averaging 19.1%.
- The strongest year-over-year quarter for EBT in the past five years was Q4 2024, with growth of 145.9%; the weakest was Q4 2023, with a decline of 29.1%.
- According to Business Quant data, EBT for the three prior quarters was $75.21 million (Q1 2026), $36.24 million (Q4 2025) and $107.56 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 3.93 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 950.00 Mn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | -104.00 Mn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 598.00 Mn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 572.00 Mn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 255.90 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 213.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 94.30 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 116.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 48.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.25 Mn |
| Mar 31, 2026 | 75.21 Mn |
| Dec 31, 2025 | 36.24 Mn |
| Sep 30, 2025 | 107.56 Mn |
| Jun 30, 2025 | 54.13 Mn |
| Mar 31, 2025 | 73.41 Mn |
| Dec 31, 2024 | 36.68 Mn |
| Sep 30, 2024 | 100.41 Mn |
| Jun 30, 2024 | 61.25 Mn |
| Mar 31, 2024 | 70.05 Mn |
| Dec 31, 2023 | 14.92 Mn |
| Sep 30, 2023 | 86.61 Mn |
| Jun 30, 2023 | 55.48 Mn |
| Mar 31, 2023 | 92.59 Mn |
| Dec 31, 2022 | 21.03 Mn |
| Sep 30, 2022 | 66.52 Mn |
| Jun 30, 2022 | 45.45 Mn |
| Mar 31, 2022 | 61.22 Mn |
| Dec 31, 2021 | -9.58 Mn |
| Sep 30, 2021 | 66.82 Mn |
API Access
Interparfums EBT 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=ebt&ticker=IPAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();