Interparfums (IPAR) Accounts Payables (2010 - 2026)
Interparfums (IPAR) recorded Accounts Payables of $82.86 million in Q2 2026, down 11.0% from $93.15 million a year earlier and down 2.9% from the prior quarter.
Interparfums (IPAR) Accounts Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Interparfums reported Accounts Payables of $77.21 million, down 15.2% from FY2024.
- Annual Accounts Payables has a five-year compound annual growth rate of 16.8% (FY2020 to FY2025).
- Across earlier years, Accounts Payables came in at $91.05 million in FY2024 (-6.5%), $97.41 million in FY2023 (+10.2%), $88.39 million in FY2022 (+7.8%) and $81.98 million in FY2021 (+130.4%).
- Quarterly Accounts Payables has ranged from $46.87 million in Q3 2021 to $108.51 million in Q2 2024 over the past five years.
- On a year-over-year basis, Accounts Payables has declined for seven consecutive quarters, with an average decline of 10.9% over the last eight quarters.
- Peak year-over-year performance for Accounts Payables in the last five years was growth of 130.4% in Q4 2021, against a decline of 30.6% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $85.34 million (Q1 2026), $77.21 million (Q4 2025) and $66.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 16.31 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 2.12 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 1.58 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 2.58 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 3.37 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 775.90 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 1.60 Bn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 95.92 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 433.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 82.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 82.86 Mn |
| Mar 31, 2026 | 85.34 Mn |
| Dec 31, 2025 | 77.21 Mn |
| Sep 30, 2025 | 66.99 Mn |
| Jun 30, 2025 | 93.15 Mn |
| Mar 31, 2025 | 98.89 Mn |
| Dec 31, 2024 | 91.05 Mn |
| Sep 30, 2024 | 96.58 Mn |
| Jun 30, 2024 | 108.51 Mn |
| Mar 31, 2024 | 106.22 Mn |
| Dec 31, 2023 | 97.41 Mn |
| Sep 30, 2023 | 87.16 Mn |
| Jun 30, 2023 | 91.04 Mn |
| Mar 31, 2023 | 93.05 Mn |
| Dec 31, 2022 | 88.39 Mn |
| Sep 30, 2022 | 81.42 Mn |
| Jun 30, 2022 | 83.41 Mn |
| Mar 31, 2022 | 72.57 Mn |
| Dec 31, 2021 | 81.98 Mn |
| Sep 30, 2021 | 46.87 Mn |
Interparfums Accounts Payables 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=accounts-payables&ticker=IPAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();