Interparfums (IPAR) Non-Current Assets (2010 - 2026)
Interparfums (IPAR) posted Non-Current Assets of $539.13 million for Q2 2026, down 6.2% from $574.76 million a year earlier and down 1.1% from the prior quarter.
Interparfums (IPAR) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Interparfums' Non-Current Assets came in at $557.88 million, up 15.1% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 14.0% (FY2020 to FY2025).
- In prior years, Interparfums' Non-Current Assets was $484.86 million in FY2024 (-8.6%), $530.3 million in FY2023 (+1.8%), $520.82 million in FY2022 (+19.5%) and $435.65 million in FY2021 (+50.5%).
- The Q2 2026 figure stands as the lowest quarterly Non-Current Assets since Q1 2025.
- On a year-over-year basis, Non-Current Assets increased in six of the last eight quarters, with growth averaging 3.7%.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q3 2021, with growth of 53.8%; the weakest was Q1 2022, with a decline of 19.6%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $545.02 million (Q1 2026), $557.88 million (Q4 2025) and $573.91 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 100.31 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 10.48 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 12.15 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 20.84 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 12.20 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 7.58 Bn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 5.97 Bn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 1.60 Bn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 3.89 Bn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 539.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 539.13 Mn |
| Mar 31, 2026 | 545.02 Mn |
| Dec 31, 2025 | 557.88 Mn |
| Sep 30, 2025 | 573.91 Mn |
| Jun 30, 2025 | 574.76 Mn |
| Mar 31, 2025 | 529.45 Mn |
| Dec 31, 2024 | 484.86 Mn |
| Sep 30, 2024 | 524.16 Mn |
| Jun 30, 2024 | 506.60 Mn |
| Mar 31, 2024 | 516.51 Mn |
| Dec 31, 2023 | 530.30 Mn |
| Sep 30, 2023 | 517.54 Mn |
| Jun 30, 2023 | 528.22 Mn |
| Mar 31, 2023 | 517.73 Mn |
| Dec 31, 2022 | 520.82 Mn |
| Sep 30, 2022 | 403.55 Mn |
| Jun 30, 2022 | 422.23 Mn |
| Mar 31, 2022 | 427.74 Mn |
| Dec 31, 2021 | 435.65 Mn |
| Sep 30, 2021 | 422.59 Mn |
Interparfums Non-Current Assets 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=non-current-assets&ticker=IPAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();