Interparfums (IPAR) Free Cash Flow (2010 - 2026)
Interparfums (IPAR) recorded Free Cash Flow of $44.56 million in Q2 2026, compared with -$3.32 million a year earlier.
Interparfums (IPAR) Free Cash Flow (2010 - 2026) Analysis & Trends
On a TTM basis, Interparfums' Free Cash Flow came in at $245.89 million as of Jun 30, 2026, up 23.3% year-over-year; for FY2025, it came in at $190.49 million, up 4.1% from FY2024.
- Annual Free Cash Flow has increased for three straight years, with a five-year compound annual growth rate of 28.7% (FY2020 to FY2025).
- Across earlier years, Free Cash Flow came in at $182.9 million in FY2024 (+84.2%), $99.31 million in FY2023 (+152.9%), $39.28 million in FY2022 and -$21.69 million in FY2021.
- Quarterly Free Cash Flow has ranged from -$53.02 million in Q1 2024 to $144.98 million in Q4 2025 over the past five years.
- On a year-over-year basis, Free Cash Flow rose in three of the last four quarters, with growth averaging 105.2%.
- Peak year-over-year performance for Free Cash Flow in the last five years was growth of 856.2% in Q4 2022, against a decline of 89.1% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at -$1.28 million (Q1 2026), $144.98 million (Q4 2025) and $57.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 4.11 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 867.00 Mn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 425.00 Mn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 624.00 Mn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 556.00 Mn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 256.90 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 244.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 110.23 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 45.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 44.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.56 Mn |
| Mar 31, 2026 | -1.28 Mn |
| Dec 31, 2025 | 144.98 Mn |
| Sep 30, 2025 | 57.63 Mn |
| Jun 30, 2025 | -3.32 Mn |
| Mar 31, 2025 | -8.80 Mn |
| Dec 31, 2024 | 136.11 Mn |
| Sep 30, 2024 | 75.37 Mn |
| Jun 30, 2024 | 24.44 Mn |
| Mar 31, 2024 | -53.02 Mn |
| Dec 31, 2023 | 79.61 Mn |
| Sep 30, 2023 | 16.14 Mn |
| Jun 30, 2023 | 13.34 Mn |
| Mar 31, 2023 | -9.77 Mn |
| Dec 31, 2022 | 80.07 Mn |
| Sep 30, 2022 | 18.02 Mn |
| Jun 30, 2022 | -21.97 Mn |
| Mar 31, 2022 | -36.84 Mn |
| Dec 31, 2021 | 8.37 Mn |
| Sep 30, 2021 | 52.08 Mn |
Interparfums Free Cash Flow 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=free-cash-flow&ticker=IPAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-cash-flow", "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=free-cash-flow&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();