Interparfums (IPAR) Cost of Revenue (2010 - 2026)
Interparfums' Cost of Revenue was $117.51 million in Q2 2026, up 4.1% from $112.85 million a year earlier but down 2.3% from the prior quarter.
Interparfums (IPAR) Cost of Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Interparfums' Cost of Revenue was $543.36 million through Jun 30, 2026, up 5.0% year-over-year; for FY2025, it came in at $541.29 million, up 3.1% from FY2024.
- Cost of Revenue has now increased for five consecutive years, with a five-year compound annual growth rate of 21.0% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $524.98 million in FY2024 (+9.7%), $478.6 million in FY2023 (+22.0%), $392.23 million in FY2022 (+21.6%) and $322.61 million in FY2021 (+54.9%).
- Quarterly Cost of Revenue has moved between $78.84 million (Q4 2021) and $156.76 million (Q3 2025) over five years.
- Compared with a year earlier, Cost of Revenue was higher in six of the last eight quarters, with growth averaging 5.0%.
- The best year-over-year quarter for Cost of Revenue over five years was Q3 2021 (growth of 50.2%); the worst was Q2 2025 (a decline of 7.1%).
- Per Business Quant data, IPAR's Cost of Revenue in the three quarters before Q2 2026 was $120.25 million (Q1 2026), $148.84 million (Q4 2025) and $156.76 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn | 10.92 Bn |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | 2.07 Bn |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | 890.00 Mn |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | 1.65 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | 2.59 Bn |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 836.10 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | 1.14 Bn |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | 80.53 Mn |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | 699.00 Mn |
| 10 | Interparfums | 3.65 Bn | 3.46 Bn | 223.53 Mn | 117.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 117.51 Mn |
| Mar 31, 2026 | 120.25 Mn |
| Dec 31, 2025 | 148.84 Mn |
| Sep 30, 2025 | 156.76 Mn |
| Jun 30, 2025 | 112.85 Mn |
| Mar 31, 2025 | 122.84 Mn |
| Dec 31, 2024 | 128.47 Mn |
| Sep 30, 2024 | 153.47 Mn |
| Jun 30, 2024 | 121.47 Mn |
| Mar 31, 2024 | 121.58 Mn |
| Dec 31, 2023 | 116.03 Mn |
| Sep 30, 2023 | 132.96 Mn |
| Jun 30, 2023 | 120.84 Mn |
| Mar 31, 2023 | 108.77 Mn |
| Dec 31, 2022 | 110.71 Mn |
| Sep 30, 2022 | 98.56 Mn |
| Jun 30, 2022 | 90.94 Mn |
| Mar 31, 2022 | 92.02 Mn |
| Dec 31, 2021 | 78.84 Mn |
| Sep 30, 2021 | 95.27 Mn |
Interparfums Cost of Revenue 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=cost-of-revenue&ticker=IPAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();