Interparfums (IPAR) Return on Capital Employed [ROCE] (2011 - 2026)
Interparfums (IPAR) posted Return on Capital Employed [ROCE] of 21.08% for Q2 2026, down 2.57 percentage points from 23.65% a year earlier and down 0.33 percentage points from the prior quarter.
Interparfums (IPAR) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Interparfums' Return on Capital Employed [ROCE] came in at 23.42%, down 2.56 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of +13.45 percentage points (FY2020 to FY2025).
- In prior years, Interparfums' Return on Capital Employed [ROCE] was 25.98% in FY2024 (+1.19 pp), 24.79% in FY2023 (+2.77 pp), 22.02% in FY2022 (+2.86 pp) and 19.16% in FY2021 (+9.19 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Capital Employed [ROCE] since Q3 2022.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined in each of the last four quarters, with an average year-over-year change of -0.94 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q3 2021, with a gain of 12.23 percentage points; the weakest was Q1 2026, with a drop of 3.77 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 21.41% (Q1 2026), 21.96% (Q4 2025) and 22.12% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 22.25% |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 29.67% |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | 12.57% |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | 5.79% |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 23.10% |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 14.08% |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 38.28% |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | 6.09% |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | 12.75% |
| 10 | Interparfums | 3.55 Bn | 3.36 Bn | 223.53 Mn | 21.08% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.08% |
| Mar 31, 2026 | 21.41% |
| Dec 31, 2025 | 21.96% |
| Sep 30, 2025 | 22.12% |
| Jun 30, 2025 | 23.65% |
| Mar 31, 2025 | 25.18% |
| Dec 31, 2024 | 24.68% |
| Sep 30, 2024 | 23.80% |
| Jun 30, 2024 | 23.33% |
| Mar 31, 2024 | 21.68% |
| Dec 31, 2023 | 23.78% |
| Sep 30, 2023 | 25.32% |
| Jun 30, 2023 | 22.87% |
| Mar 31, 2023 | 22.87% |
| Dec 31, 2022 | 22.45% |
| Sep 30, 2022 | 18.51% |
| Jun 30, 2022 | 18.07% |
| Mar 31, 2022 | 17.85% |
| Dec 31, 2021 | 16.62% |
| Sep 30, 2021 | 20.63% |
Interparfums Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=IPAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=IPAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();