Interparfums (IPAR) Receivables (2010 - 2026)
Interparfums' Receivables came in at $310.8 million for Q2 2026, up 2.2% from $304.18 million a year earlier but down 8.2% from the prior quarter.
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Analysis
Interparfums (IPAR) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Interparfums' Receivables was $329.64 million, up 17.4% from FY2024.
- Receivables has increased in each of the last five years, with a five-year compound annual growth rate of 21.2% (FY2020 to FY2025).
- Going back by year, Receivables was $280.82 million in FY2024 (+10.5%), $254.25 million in FY2023 (+12.3%), $226.39 million in FY2022 (+33.5%) and $169.59 million in FY2021 (+34.7%).
- The five-year range for quarterly Receivables is $169.59 million (Q4 2021) to $373.99 million (Q3 2025).
- Year-over-year, Receivables has increased for four consecutive quarters, with growth averaging 8.3% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in Q1 2022 (growth of 44.3%), and the weakest in Q2 2025 (a decline of 0.1%).
- Business Quant data shows IPAR's Receivables at $338.58 million (Q1 2026), $329.64 million (Q4 2025) and $373.99 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 6.06 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 1.96 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 1.52 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 2.48 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 1.86 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 596.80 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 813.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 174.53 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 357.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 310.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 310.80 Mn |
| Mar 31, 2026 | 338.58 Mn |
| Dec 31, 2025 | 329.64 Mn |
| Sep 30, 2025 | 373.99 Mn |
| Jun 30, 2025 | 304.18 Mn |
| Mar 31, 2025 | 308.68 Mn |
| Dec 31, 2024 | 280.82 Mn |
| Sep 30, 2024 | 359.16 Mn |
| Jun 30, 2024 | 304.43 Mn |
| Mar 31, 2024 | 298.66 Mn |
| Dec 31, 2023 | 254.25 Mn |
| Sep 30, 2023 | 301.73 Mn |
| Jun 30, 2023 | 251.28 Mn |
| Mar 31, 2023 | 269.73 Mn |
| Dec 31, 2022 | 226.39 Mn |
| Sep 30, 2022 | 228.16 Mn |
| Jun 30, 2022 | 199.99 Mn |
| Mar 31, 2022 | 218.79 Mn |
| Dec 31, 2021 | 169.59 Mn |
| Sep 30, 2021 | 197.82 Mn |
API Access
Interparfums Receivables 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=receivables&ticker=IPAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();