Interparfums (IPAR) Tax Provisions (2010 - 2026)
Interparfums (IPAR) posted Tax Provisions of $11.36 million for Q2 2026, down 12.1% from $12.93 million a year earlier and down 38.6% from the prior quarter.
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Analysis
Interparfums (IPAR) Tax Provisions (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Interparfums was $62.12 million, down 3.7% year-over-year; for FY2025, it was $63.19 million, down 2.7% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of 26.7% (FY2020 to FY2025).
- In prior years, Interparfums' Tax Provisions was $64.96 million in FY2024 (+5.1%), $61.82 million in FY2023 (+43.2%), $43.18 million in FY2022 (+5.3%) and $40.99 million in FY2021 (+111.5%).
- Quarterly Tax Provisions has run from a low of -$4.12 million in Q4 2021 to a high of $24.28 million in Q3 2025 over five years.
- On a year-over-year basis, Tax Provisions increased in five of the last eight quarters, with growth averaging 4.2%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q3 2021, with growth of 91.9%; the weakest was Q2 2022, with a decline of 25.8%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $18.5 million (Q1 2026), $7.97 million (Q4 2025) and $24.28 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 852.00 Mn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 231.00 Mn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 12.00 Mn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 142.00 Mn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 217.00 Mn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 53.10 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 46.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 27.70 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 27.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 11.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.36 Mn |
| Mar 31, 2026 | 18.50 Mn |
| Dec 31, 2025 | 7.97 Mn |
| Sep 30, 2025 | 24.28 Mn |
| Jun 30, 2025 | 12.93 Mn |
| Mar 31, 2025 | 18.01 Mn |
| Dec 31, 2024 | 9.98 Mn |
| Sep 30, 2024 | 23.57 Mn |
| Jun 30, 2024 | 14.65 Mn |
| Mar 31, 2024 | 16.75 Mn |
| Dec 31, 2023 | 6.69 Mn |
| Sep 30, 2023 | 20.49 Mn |
| Jun 30, 2023 | 12.96 Mn |
| Mar 31, 2023 | 21.68 Mn |
| Dec 31, 2022 | 4.10 Mn |
| Sep 30, 2022 | 13.22 Mn |
| Jun 30, 2022 | 10.93 Mn |
| Mar 31, 2022 | 14.93 Mn |
| Dec 31, 2021 | -4.12 Mn |
| Sep 30, 2021 | 17.00 Mn |
API Access
Interparfums Tax Provisions 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=tax-provisions&ticker=IPAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();