Interparfums (IPAR) Accumulated Expenses (2010 - 2026)
Interparfums' Accumulated Expenses was $146.17 million in Q2 2026, up 15.3% from $126.75 million a year earlier but down 3.1% from the prior quarter.
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Analysis
Interparfums (IPAR) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Interparfums came in at $189.62 million, up 9.8% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 14.7% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $172.76 million in FY2024 (-3.4%), $178.88 million in FY2023 (-16.3%), $213.62 million in FY2022 (+56.3%) and $136.68 million in FY2021 (+42.9%).
- Quarterly Accumulated Expenses has moved between $117.78 million (Q3 2021) and $213.62 million (Q4 2022) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for three straight quarters, with an average decline of 0.5% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2021 (growth of 64.1%); the worst was Q1 2024 (a decline of 28.7%).
- Per Business Quant data, IPAR's Accumulated Expenses in the three quarters before Q2 2026 was $150.84 million (Q1 2026), $189.62 million (Q4 2025) and $152.62 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn |
| 10 | Interparfums | 3.55 Bn | 3.36 Bn | 223.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 146.17 Mn |
| Mar 31, 2026 | 150.84 Mn |
| Dec 31, 2025 | 189.62 Mn |
| Sep 30, 2025 | 152.62 Mn |
| Jun 30, 2025 | 126.75 Mn |
| Mar 31, 2025 | 128.67 Mn |
| Dec 31, 2024 | 172.76 Mn |
| Sep 30, 2024 | 166.16 Mn |
| Jun 30, 2024 | 145.13 Mn |
| Mar 31, 2024 | 135.66 Mn |
| Dec 31, 2023 | 178.88 Mn |
| Sep 30, 2023 | 200.07 Mn |
| Jun 30, 2023 | 194.04 Mn |
| Mar 31, 2023 | 190.31 Mn |
| Dec 31, 2022 | 213.62 Mn |
| Sep 30, 2022 | 132.83 Mn |
| Jun 30, 2022 | 122.06 Mn |
| Mar 31, 2022 | 144.72 Mn |
| Dec 31, 2021 | 136.68 Mn |
| Sep 30, 2021 | 117.78 Mn |
API Access
Interparfums Accumulated Expenses 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=accumulated-expenses&ticker=IPAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();