Interparfums (IPAR) Operating Expenses (2010 - 2026)
Interparfums (IPAR) recorded Operating Expenses of $174.58 million in Q2 2026, up 7.8% from $161.91 million a year earlier and up 16.0% from the prior quarter.
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Analysis
Interparfums (IPAR) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Interparfums' Operating Expenses came in at $699.18 million as of Jun 30, 2026, up 5.8% year-over-year; for FY2025, it was $676.9 million, up 4.4% from FY2024.
- Annual Operating Expenses has increased for five straight years, with a five-year compound annual growth rate of 21.0% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $648.54 million in FY2024 (+10.4%), $587.7 million in FY2023 (+19.4%), $492.37 million in FY2022 (+21.1%) and $406.46 million in FY2021 (+55.9%).
- Quarterly Operating Expenses has ranged from $97.44 million in Q1 2022 to $209.83 million in Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for three consecutive quarters, with growth averaging 5.3% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 58.0% in Q4 2021, against a decline of 0.5% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $150.51 million (Q1 2026), $209.83 million (Q4 2025) and $164.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 2.78 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 1.60 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 252.20 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 330.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 107.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 174.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 174.58 Mn |
| Mar 31, 2026 | 150.51 Mn |
| Dec 31, 2025 | 209.83 Mn |
| Sep 30, 2025 | 164.26 Mn |
| Jun 30, 2025 | 161.91 Mn |
| Mar 31, 2025 | 140.90 Mn |
| Dec 31, 2024 | 193.03 Mn |
| Sep 30, 2024 | 165.17 Mn |
| Jun 30, 2024 | 155.93 Mn |
| Mar 31, 2024 | 134.41 Mn |
| Dec 31, 2023 | 193.83 Mn |
| Sep 30, 2023 | 147.81 Mn |
| Jun 30, 2023 | 133.38 Mn |
| Mar 31, 2023 | 112.68 Mn |
| Dec 31, 2022 | 169.12 Mn |
| Sep 30, 2022 | 117.42 Mn |
| Jun 30, 2022 | 108.39 Mn |
| Mar 31, 2022 | 97.44 Mn |
| Dec 31, 2021 | 144.08 Mn |
| Sep 30, 2021 | 99.79 Mn |
API Access
Interparfums Operating Expenses 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=operating-expenses&ticker=IPAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();