Interparfums (IPAR) Capital Expenditures (2010 - 2026)
Interparfums (IPAR) reported Capital Expenditures of $1.03 million for Q2 2026, down 93.2% from $15.19 million a year earlier and down 24.7% from the prior quarter.
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Analysis
Interparfums (IPAR) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Interparfums' Capital Expenditures came in at $10.17 million, down 47.2% year-over-year; for FY2025, it was $24.41 million, up 415.1% from FY2024.
- Capital Expenditures has a five-year compound annual growth rate of 17.3% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $4.74 million in FY2024 (-26.7%), $6.47 million in FY2023 (-80.8%), $33.76 million in FY2022 (-76.1%) and $141.27 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Capital Expenditures since Q3 2024.
- Year over year, Capital Expenditures has now declined in each of the last three quarters, with growth averaging 84.0% over the last seven quarters.
- The high point for year-over-year Capital Expenditures in five years was Q1 2022 (growth of 970.1%); the low point was Q2 2023 (a decline of 95.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.36 million (Q1 2026), $1.55 million (Q4 2025) and $6.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 1.02 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 128.00 Mn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 151.00 Mn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 64.00 Mn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 352.00 Mn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 29.90 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 86.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 1.43 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 57.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 1.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.03 Mn |
| Mar 31, 2026 | 1.36 Mn |
| Dec 31, 2025 | 1.55 Mn |
| Sep 30, 2025 | 6.24 Mn |
| Jun 30, 2025 | 15.19 Mn |
| Mar 31, 2025 | 1.44 Mn |
| Dec 31, 2024 | 1.85 Mn |
| Sep 30, 2024 | 767,000.00 |
| Jun 30, 2024 | 1.06 Mn |
| Mar 31, 2024 | 1.06 Mn |
| Dec 31, 2023 | 1.89 Mn |
| Sep 30, 2023 | 1.37 Mn |
| Jun 30, 2023 | 787,000.00 |
| Mar 31, 2023 | 2.42 Mn |
| Dec 31, 2022 | 1.14 Mn |
| Sep 30, 2022 | 2.31 Mn |
| Jun 30, 2022 | 17.41 Mn |
| Mar 31, 2022 | 12.90 Mn |
| Dec 31, 2021 | 9.95 Mn |
| Sep 30, 2021 | 11.07 Mn |
API Access
Interparfums Capital Expenditures 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=capital-expenditures&ticker=IPAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();