Interparfums (IPAR) Operating Leases (2019 - 2026)
Interparfums' Operating Leases came in at $13.08 million for Q2 2026, down 30.8% from $18.88 million a year earlier and down 10.5% from the prior quarter.
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Analysis
Interparfums (IPAR) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Interparfums' Operating Leases was $15.97 million, down 21.9% from FY2024.
- Operating Leases carries a five-year compound annual growth rate of -5.6% (FY2020 to FY2025).
- Going back by year, Operating Leases was $20.46 million in FY2024 (-16.6%), $24.52 million in FY2023 (+0.7%), $24.34 million in FY2022 (-16.7%) and $29.22 million in FY2021 (+36.8%).
- The Q2 2026 figure represents the lowest quarterly Operating Leases in data going back to Q1 2019.
- Year-over-year, Operating Leases has declined for ten consecutive quarters, with an average decline of 19.7% over the last eight quarters.
- The fastest year-over-year change in Operating Leases over five years came in Q1 2022 (growth of 44.5%), and the weakest in Q2 2026 (a decline of 30.8%).
- Business Quant data shows IPAR's Operating Leases at $14.61 million (Q1 2026), $15.97 million (Q4 2025) and $17.41 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 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 |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.08 Mn |
| Mar 31, 2026 | 14.61 Mn |
| Dec 31, 2025 | 15.97 Mn |
| Sep 30, 2025 | 17.41 Mn |
| Jun 30, 2025 | 18.88 Mn |
| Mar 31, 2025 | 19.19 Mn |
| Dec 31, 2024 | 20.46 Mn |
| Sep 30, 2024 | 21.30 Mn |
| Jun 30, 2024 | 21.87 Mn |
| Mar 31, 2024 | 22.91 Mn |
| Dec 31, 2023 | 24.52 Mn |
| Sep 30, 2023 | 25.45 Mn |
| Jun 30, 2023 | 24.49 Mn |
| Mar 31, 2023 | 23.30 Mn |
| Dec 31, 2022 | 24.34 Mn |
| Sep 30, 2022 | 24.59 Mn |
| Jun 30, 2022 | 26.59 Mn |
| Mar 31, 2022 | 28.57 Mn |
| Dec 31, 2021 | 29.22 Mn |
| Sep 30, 2021 | 27.77 Mn |
API Access
Interparfums Operating Leases 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-leases&ticker=IPAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();