Interparfums (IPAR) Short term Debt (2010 - 2026)
Interparfums' Short term Debt came in at $46.32 million for Q2 2026, down 18.4% from $56.75 million a year earlier and down 7.7% from the prior quarter.
Analysis
Interparfums (IPAR) Short term Debt (2010 - 2026) Analysis & Trends
At the end of FY2025, Interparfums' Short term Debt was $54.77 million, up 31.6% from FY2024.
- Short term Debt has increased in each of the last six years, with a five-year compound annual growth rate of 30.3% (FY2020 to FY2025).
- Going back by year, Short term Debt was $41.61 million in FY2024 (+40.6%), $29.59 million in FY2023 (+3.6%), $28.55 million in FY2022 (+79.4%) and $15.91 million in FY2021 (+9.2%).
- The Q2 2026 figure represents the lowest quarterly Short term Debt since Q1 2025.
- Year-over-year, Short term Debt increased in seven of the last eight quarters, with growth averaging 31.4%.
- The fastest year-over-year change in Short term Debt over five years came in Q3 2023 (growth of 231.7%), and the weakest in Q2 2022 (a decline of 58.6%).
- Business Quant data shows IPAR's Short term Debt at $50.16 million (Q1 2026), $54.77 million (Q4 2025) and $56.9 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn |
| 10 | Interparfums | 3.69 Bn | 3.49 Bn | 223.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.32 Mn |
| Mar 31, 2026 | 50.16 Mn |
| Dec 31, 2025 | 54.77 Mn |
| Sep 30, 2025 | 56.90 Mn |
| Jun 30, 2025 | 56.75 Mn |
| Mar 31, 2025 | 43.43 Mn |
| Dec 31, 2024 | 41.61 Mn |
| Sep 30, 2024 | 44.54 Mn |
| Jun 30, 2024 | 28.74 Mn |
| Mar 31, 2024 | 29.03 Mn |
| Dec 31, 2023 | 29.59 Mn |
| Sep 30, 2023 | 41.77 Mn |
| Jun 30, 2023 | 29.08 Mn |
| Mar 31, 2023 | 29.09 Mn |
| Dec 31, 2022 | 28.55 Mn |
| Sep 30, 2022 | 12.59 Mn |
| Jun 30, 2022 | 13.34 Mn |
| Mar 31, 2022 | 14.38 Mn |
| Dec 31, 2021 | 15.91 Mn |
| Sep 30, 2021 | 15.03 Mn |
API Access
Interparfums Short term Debt 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=short-term-debt&ticker=IPAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();