Ingevity (NGVT) Price to Earnings (2016 - 2026)
Ingevity's Price to Earnings was 47.68 in Q2 2026.
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Analysis
Ingevity (NGVT) Price to Earnings (2016 - 2026) Analysis & Trends
For FY2022, Price to Earnings at Ingevity came in at 12.42, down 47.9% from FY2021.
- In earlier years, Price to Earnings was 23.84 in FY2021 (+41.0%), 16.91 in FY2020 (-15.0%), 19.90 in FY2019 (-3.6%) and 20.63 in FY2018 (-12.0%).
- The Q2 2026 figure marks the highest quarterly Price to Earnings since Q1 2017.
- The best year-over-year quarter for Price to Earnings over five years was Q3 2021 (growth of 83.6%); the worst was Q3 2022 (a decline of 51.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn |
| 10 | Ingevity | 2.50 Bn | 1.97 Bn | 139.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.68 |
| Sep 30, 2023 | 13.58 |
| Jun 30, 2023 | 11.88 |
| Mar 31, 2023 | 13.13 |
| Dec 31, 2022 | 12.42 |
| Sep 30, 2022 | 10.05 |
| Jun 30, 2022 | 16.48 |
| Mar 31, 2022 | 19.05 |
| Dec 31, 2021 | 23.84 |
| Sep 30, 2021 | 20.85 |
| Jun 30, 2021 | 15.49 |
| Mar 31, 2021 | 16.38 |
| Dec 31, 2020 | 16.91 |
| Sep 30, 2020 | 11.36 |
| Jun 30, 2020 | 12.78 |
| Mar 31, 2020 | 7.03 |
| Dec 31, 2019 | 19.90 |
| Sep 30, 2019 | 19.55 |
| Jun 30, 2019 | 26.02 |
| Mar 31, 2019 | 27.77 |
API Access
Ingevity Price to Earnings 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=price-to-earnings&ticker=NGVT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=NGVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();