Interparfums (IPAR) Inventory (2010 - 2026)
Interparfums (IPAR) posted Inventory of $375.58 million for Q2 2026, down 11.7% from $425.35 million a year earlier but up 1.6% from the prior quarter.
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Analysis
Interparfums (IPAR) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Interparfums' Inventory came in at $351.38 million, down 5.5% from FY2024.
- Annual Inventory shows a five-year compound annual growth rate of 17.2% (FY2020 to FY2025).
- In prior years, Interparfums' Inventory was $371.92 million in FY2024 (unchanged), $371.86 million in FY2023 (+28.2%), $289.98 million in FY2022 (+45.8%) and $198.91 million in FY2021 (+25.2%).
- Quarterly Inventory has run from a low of $156.03 million in Q3 2021 to a high of $433.72 million in Q2 2024 over five years.
- On a year-over-year basis, Inventory has declined in each of the last six quarters, with an average decline of 2.4% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was Q3 2022, with growth of 81.5%; the weakest was Q3 2021, with a decline of 12.8%.
- According to Business Quant data, Inventory for the three prior quarters was $369.63 million (Q1 2026), $351.38 million (Q4 2025) and $388.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 8.17 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 2.18 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 2.00 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 1.72 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 1.54 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 601.90 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 777.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 246.81 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 718.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 375.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 375.58 Mn |
| Mar 31, 2026 | 369.63 Mn |
| Dec 31, 2025 | 351.38 Mn |
| Sep 30, 2025 | 388.30 Mn |
| Jun 30, 2025 | 425.35 Mn |
| Mar 31, 2025 | 395.89 Mn |
| Dec 31, 2024 | 371.92 Mn |
| Sep 30, 2024 | 412.76 Mn |
| Jun 30, 2024 | 433.72 Mn |
| Mar 31, 2024 | 400.21 Mn |
| Dec 31, 2023 | 371.86 Mn |
| Sep 30, 2023 | 364.27 Mn |
| Jun 30, 2023 | 360.02 Mn |
| Mar 31, 2023 | 323.70 Mn |
| Dec 31, 2022 | 289.98 Mn |
| Sep 30, 2022 | 283.24 Mn |
| Jun 30, 2022 | 265.84 Mn |
| Mar 31, 2022 | 227.11 Mn |
| Dec 31, 2021 | 198.91 Mn |
| Sep 30, 2021 | 156.03 Mn |
API Access
Interparfums Inventory 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=inventory&ticker=IPAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();