Ingevity (NGVT) Return on Capital Employed [ROCE] (2016 - 2026)
Ingevity (NGVT) posted Return on Capital Employed [ROCE] of 22.18% for Q2 2026, up 5.62 percentage points from 16.56% a year earlier and up 1.52 percentage points from the prior quarter.
Ingevity (NGVT) Return on Capital Employed [ROCE] (2016 - 2026) Analysis & Trends
For FY2025, Ingevity's Return on Capital Employed [ROCE] came in at 16.66%, up 3.81 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of +3.01 percentage points (FY2020 to FY2025).
- In prior years, Ingevity's Return on Capital Employed [ROCE] was 12.84% in FY2024 (+4.02 pp), 8.82% in FY2023 (-5.41 pp), 14.23% in FY2022 (+0.59 pp) and 13.64% in FY2021 (-0.01 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] since Q4 2018.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last seven quarters, with an average year-over-year change of +6.21 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 Q2 2025, with a gain of 11.36 percentage points; the weakest was Q1 2024, with a drop of 7.08 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 20.66% (Q1 2026), 17.77% (Q4 2025) and 17.88% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 13.17% |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 9.96% |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 23.44% |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | -1.63% |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 3.55% |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 24.09% |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 10.47% |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 17.58% |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 13.38% |
| 10 | Ingevity | 2.50 Bn | 1.97 Bn | 139.00 Mn | 22.18% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.18% |
| Mar 31, 2026 | 20.66% |
| Dec 31, 2025 | 17.77% |
| Sep 30, 2025 | 17.88% |
| Jun 30, 2025 | 16.56% |
| Mar 31, 2025 | 14.20% |
| Dec 31, 2024 | 9.38% |
| Sep 30, 2024 | 7.16% |
| Jun 30, 2024 | 5.19% |
| Mar 31, 2024 | 5.34% |
| Dec 31, 2023 | 8.76% |
| Sep 30, 2023 | 9.52% |
| Jun 30, 2023 | 11.72% |
| Mar 31, 2023 | 12.43% |
| Dec 31, 2022 | 14.66% |
| Sep 30, 2022 | 16.21% |
| Jun 30, 2022 | 14.47% |
| Mar 31, 2022 | 15.82% |
| Dec 31, 2021 | 13.36% |
| Sep 30, 2021 | 14.82% |
Ingevity 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=NGVT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "NGVT", "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=NGVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();