Interparfums (IPAR) Property, Plant & Equipment (Net) (2010 - 2026)
Interparfums (IPAR) recorded Property, Plant & Equipment (Net) of $176.17 million in Q2 2026, down 5.0% from $185.36 million a year earlier and down 1.8% from the prior quarter.
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Analysis
Interparfums (IPAR) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Interparfums reported Property, Plant & Equipment (Net) of $184.89 million, up 20.2% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 56.7% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $153.77 million in FY2024 (-9.1%), $169.22 million in FY2023 (+1.5%), $166.72 million in FY2022 (+11.6%) and $149.35 million in FY2021 (+662.8%).
- The Q2 2026 figure is the lowest quarterly Property, Plant & Equipment (Net) since Q1 2025.
- On a year-over-year basis, Property, Plant & Equipment (Net) rose in five of the last eight quarters, with growth averaging 5.6%.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 736.1% in Q1 2022, against a decline of 9.1% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $179.39 million (Q1 2026), $184.89 million (Q4 2025) and $186.21 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn | 25.36 Bn |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | 4.64 Bn |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | 2.81 Bn |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | 2.23 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | 6.95 Bn |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 826.50 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | 1.51 Bn |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | 39.69 Mn |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | 855.00 Mn |
| 10 | Interparfums | 3.65 Bn | 3.46 Bn | 223.53 Mn | 176.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 176.17 Mn |
| Mar 31, 2026 | 179.39 Mn |
| Dec 31, 2025 | 184.89 Mn |
| Sep 30, 2025 | 186.21 Mn |
| Jun 30, 2025 | 185.36 Mn |
| Mar 31, 2025 | 158.85 Mn |
| Dec 31, 2024 | 153.77 Mn |
| Sep 30, 2024 | 166.44 Mn |
| Jun 30, 2024 | 161.06 Mn |
| Mar 31, 2024 | 164.17 Mn |
| Dec 31, 2023 | 169.22 Mn |
| Sep 30, 2023 | 163.00 Mn |
| Jun 30, 2023 | 168.26 Mn |
| Mar 31, 2023 | 169.04 Mn |
| Dec 31, 2022 | 166.72 Mn |
| Sep 30, 2022 | 153.25 Mn |
| Jun 30, 2022 | 162.45 Mn |
| Mar 31, 2022 | 157.73 Mn |
| Dec 31, 2021 | 149.35 Mn |
| Sep 30, 2021 | 142.82 Mn |
API Access
Interparfums Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=IPAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();