Interparfums (IPAR) Total Current Liabilities (2010 - 2026)
Interparfums' Total Current Liabilities came in at $287.33 million for Q2 2026, down 13.7% from $333 million a year earlier and down 6.1% from the prior quarter.
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Analysis
Interparfums (IPAR) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Interparfums' Total Current Liabilities was $344 million, up 3.5% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 17.1% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $332.43 million in FY2024 (+2.4%), $324.75 million in FY2023 (-5.8%), $344.57 million in FY2022 (+40.7%) and $244.91 million in FY2021 (+56.8%).
- The Q2 2026 figure represents the lowest quarterly Total Current Liabilities since Q3 2022.
- Year-over-year, Total Current Liabilities increased in four of the last eight quarters, with an average decline of 3.0%.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q3 2021 (growth of 78.1%), and the weakest in Q1 2024 (a decline of 16.5%).
- Business Quant data shows IPAR's Total Current Liabilities at $305.93 million (Q1 2026), $344 million (Q4 2025) and $302.77 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 38.69 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 6.15 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 6.23 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 5.87 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 6.99 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 1.33 Bn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 2.77 Bn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 337.66 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 660.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 287.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 287.33 Mn |
| Mar 31, 2026 | 305.93 Mn |
| Dec 31, 2025 | 344.00 Mn |
| Sep 30, 2025 | 302.77 Mn |
| Jun 30, 2025 | 333.00 Mn |
| Mar 31, 2025 | 306.45 Mn |
| Dec 31, 2024 | 332.43 Mn |
| Sep 30, 2024 | 339.58 Mn |
| Jun 30, 2024 | 332.44 Mn |
| Mar 31, 2024 | 302.46 Mn |
| Dec 31, 2023 | 324.75 Mn |
| Sep 30, 2023 | 363.10 Mn |
| Jun 30, 2023 | 341.67 Mn |
| Mar 31, 2023 | 362.17 Mn |
| Dec 31, 2022 | 344.57 Mn |
| Sep 30, 2022 | 248.51 Mn |
| Jun 30, 2022 | 235.50 Mn |
| Mar 31, 2022 | 250.23 Mn |
| Dec 31, 2021 | 244.91 Mn |
| Sep 30, 2021 | 212.35 Mn |
API Access
Interparfums Total Current Liabilities 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=total-current-liabilities&ticker=IPAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();