Interparfums (IPAR) Long-Term Debt Repayments (2010 - 2026)
Interparfums' Long-Term Debt Repayments was $13.36 million in Q2 2026, up 17.8% from $11.34 million a year earlier but down 11.9% from the prior quarter.
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Analysis
Interparfums (IPAR) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Interparfums' Long-Term Debt Repayments was $55.05 million through Jun 30, 2026, up 29.5% year-over-year; for FY2025, it was $50.32 million, up 45.1% from FY2024.
- Long-Term Debt Repayments has now increased for three consecutive years, with a five-year compound annual growth rate of 29.7% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $34.69 million in FY2024 (+20.4%), $28.8 million in FY2023 (+45.0%), $19.86 million in FY2022 (-53.9%) and $43.06 million in FY2021 (+213.7%).
- Quarterly Long-Term Debt Repayments has moved between $3.14 million (Q2 2022) and $20.34 million (Q3 2021) over five years.
- Compared with a year earlier, Long-Term Debt Repayments has increased for eight straight quarters, with growth averaging 40.2% over the last eight quarters.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q4 2021 (growth of 258.7%); the worst was Q1 2022 (a decline of 69.4%).
- Per Business Quant data, IPAR's Long-Term Debt Repayments in the three quarters before Q2 2026 was $15.17 million (Q1 2026), $13.27 million (Q4 2025) and $13.25 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 369.48 Bn | 325.24 Bn | 10.28 Bn | 1.03 Bn |
| 2 | Colgate Palmolive | 75.18 Bn | 69.91 Bn | 3.30 Bn | 4.00 Mn |
| 3 | Estee Lauder Companies | 38.41 Bn | 26.48 Bn | 2.74 Bn | - |
| 4 | Kenvue | 36.80 Bn | 32.41 Bn | 2.30 Bn | - |
| 5 | Kimberly Clark | 35.70 Bn | 32.89 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 24.88 Bn | 23.41 Bn | 693.90 Mn | - |
| 7 | Clorox | 10.64 Bn | 8.92 Bn | 804.00 Mn | - |
| 8 | e.l.f. Beauty | 6.77 Bn | 5.74 Bn | 398.84 Mn | 7.50 Mn |
| 9 | Reynolds Consumer Products | 4.80 Bn | 4.46 Bn | 245.00 Mn | - |
| 10 | Interparfums | 3.72 Bn | 3.31 Bn | 223.53 Mn | 19.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.78 Mn |
| Mar 31, 2026 | 15.17 Mn |
| Dec 31, 2025 | 13.27 Mn |
| Sep 30, 2025 | 13.25 Mn |
| Jun 30, 2025 | 11.34 Mn |
| Mar 31, 2025 | 12.45 Mn |
| Dec 31, 2024 | 9.91 Mn |
| Sep 30, 2024 | 8.83 Mn |
| Jun 30, 2024 | 6.53 Mn |
| Mar 31, 2024 | 9.43 Mn |
| Dec 31, 2023 | 6.27 Mn |
| Sep 30, 2023 | 6.57 Mn |
| Jun 30, 2023 | 6.56 Mn |
| Mar 31, 2023 | 9.40 Mn |
| Dec 31, 2022 | 5.65 Mn |
| Sep 30, 2022 | 6.69 Mn |
| Jun 30, 2022 | 3.14 Mn |
| Mar 31, 2022 | 4.38 Mn |
| Dec 31, 2021 | 4.82 Mn |
| Sep 30, 2021 | 20.34 Mn |
API Access
Interparfums Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=IPAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();