Interparfums (IPAR) EBITDA (2010 - 2026)
Interparfums' EBITDA came in at $54.77 million for Q2 2026, down 16.4% from $65.54 million a year earlier and down 31.5% from the prior quarter.
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Analysis
Interparfums (IPAR) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Interparfums reported EBITDA of $283.78 million, down 6.9% year-over-year; for FY2025, it was $295.62 million, down 2.5% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 30.2% (FY2020 to FY2025).
- Going back by year, EBITDA was $303.15 million in FY2024 (+12.8%), $268.71 million in FY2023 (+23.9%), $216.84 million in FY2022 (+34.9%) and $160.75 million in FY2021 (+103.1%).
- The five-year range for quarterly EBITDA is -$6.78 million (Q4 2021) to $115.1 million (Q3 2025).
- Year-over-year, EBITDA has declined for three consecutive quarters, with growth averaging 10.0% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q3 2021 (growth of 107.9%), and the weakest in Q4 2023 (a decline of 32.7%).
- Business Quant data shows IPAR's EBITDA at $79.93 million (Q1 2026), $33.97 million (Q4 2025) and $115.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 4.76 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 1.17 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 159.00 Mn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 844.00 Mn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 800.00 Mn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 383.00 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 552.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 128.54 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 170.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 54.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.77 Mn |
| Mar 31, 2026 | 79.93 Mn |
| Dec 31, 2025 | 33.97 Mn |
| Sep 30, 2025 | 115.10 Mn |
| Jun 30, 2025 | 65.54 Mn |
| Mar 31, 2025 | 81.00 Mn |
| Dec 31, 2024 | 46.16 Mn |
| Sep 30, 2024 | 112.18 Mn |
| Jun 30, 2024 | 70.83 Mn |
| Mar 31, 2024 | 73.99 Mn |
| Dec 31, 2023 | 23.43 Mn |
| Sep 30, 2023 | 91.62 Mn |
| Jun 30, 2023 | 59.27 Mn |
| Mar 31, 2023 | 94.39 Mn |
| Dec 31, 2022 | 34.82 Mn |
| Sep 30, 2022 | 68.61 Mn |
| Jun 30, 2022 | 49.08 Mn |
| Mar 31, 2022 | 64.34 Mn |
| Dec 31, 2021 | -6.78 Mn |
| Sep 30, 2021 | 69.97 Mn |
API Access
Interparfums EBITDA 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=ebitda&ticker=IPAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();