Interparfums (IPAR) Change in Receivables (2010 - 2026)
Interparfums (IPAR) recorded Change in Receivables of -$29.47 million in Q2 2026, compared with -$24.41 million a year earlier.
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Analysis
Interparfums (IPAR) Change in Receivables (2010 - 2026) Analysis & Trends
On a TTM basis, Interparfums' Change in Receivables came in at $15.04 million as of Jun 30, 2026; for FY2025, it came in at $22.1 million, down 46.5% from FY2024.
- Across earlier years, Change in Receivables came in at $41.28 million in FY2024 (+12.0%), $36.84 million in FY2023 (-38.2%), $59.64 million in FY2022 (+31.4%) and $45.4 million in FY2021.
- Quarterly Change in Receivables has ranged from -$61.3 million in Q4 2024 to $66.54 million in Q3 2025 over the past five years.
- On a year-over-year basis, Change in Receivables rose in 1 of the last four quarters, with an average decline of 10.8%.
- Peak year-over-year performance for Change in Receivables in the last five years was growth of 88.8% in Q3 2022, against a decline of 62.0% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $18.77 million (Q1 2026), -$40.8 million (Q4 2025) and $66.54 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | -270.00 Mn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 59.00 Mn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | -236.00 Mn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | -28.00 Mn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 19.60 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 7.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | -198,000.00 |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | -11.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | -29.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -29.47 Mn |
| Mar 31, 2026 | 18.77 Mn |
| Dec 31, 2025 | -40.80 Mn |
| Sep 30, 2025 | 66.54 Mn |
| Jun 30, 2025 | -24.41 Mn |
| Mar 31, 2025 | 20.77 Mn |
| Dec 31, 2024 | -61.30 Mn |
| Sep 30, 2024 | 42.97 Mn |
| Jun 30, 2024 | 9.17 Mn |
| Mar 31, 2024 | 50.44 Mn |
| Dec 31, 2023 | -59.23 Mn |
| Sep 30, 2023 | 60.90 Mn |
| Jun 30, 2023 | -7.49 Mn |
| Mar 31, 2023 | 42.67 Mn |
| Dec 31, 2022 | -29.97 Mn |
| Sep 30, 2022 | 41.52 Mn |
| Jun 30, 2022 | -2.23 Mn |
| Mar 31, 2022 | 50.32 Mn |
| Dec 31, 2021 | -33.72 Mn |
| Sep 30, 2021 | 22.00 Mn |
API Access
Interparfums Change in 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=change-in-receivables&ticker=IPAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();