Ingevity (NGVT) Operating Expenses (2015 - 2026)
Ingevity's Operating Expenses was $46.8 million in Q2 2026, down 19.0% from $57.8 million a year earlier and down 2.3% from the prior quarter.
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Analysis
Ingevity (NGVT) Operating Expenses (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ingevity's Operating Expenses was $198.5 million through Jun 30, 2026, down 5.7% year-over-year; for FY2025, it was $212.4 million, up 6.0% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $200.4 million in FY2024 (-16.7%), $240.6 million in FY2023 (-0.9%), $242.9 million in FY2022 (+9.5%) and $221.8 million in FY2021 (+16.4%).
- The Q2 2026 figure marks the lowest quarterly Operating Expenses since Q4 2023.
- Compared with a year earlier, Operating Expenses has declined for three straight quarters, with an average decline of 1.3% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2024 (growth of 107.6%); the worst was Q4 2023 (a decline of 60.3%).
- Per Business Quant data, NGVT's Operating Expenses in the three quarters before Q2 2026 was $47.9 million (Q1 2026), $51.7 million (Q4 2025) and $52.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 217.60 Bn | 200.72 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 130.50 Bn | 123.63 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 80.80 Bn | 79.84 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 62.07 Bn | 59.97 Bn | 1.04 Bn | 3.15 Bn |
| 5 | Corteva | 51.85 Bn | 40.65 Bn | 3.66 Bn | 1.60 Bn |
| 6 | LyondellBasell Industries | 37.65 Bn | 27.27 Bn | 2.04 Bn | 7.63 Bn |
| 7 | Nutrien | 34.70 Bn | 31.57 Bn | 3.25 Bn | 169.00 Mn |
| 8 | Qnity Electronics | 26.13 Bn | 23.56 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ati | 24.61 Bn | 22.75 Bn | 309.80 Mn | 99.60 Mn |
| 10 | Ingevity | 2.51 Bn | 1.98 Bn | 139.00 Mn | 46.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.80 Mn |
| Mar 31, 2026 | 47.90 Mn |
| Dec 31, 2025 | 51.70 Mn |
| Sep 30, 2025 | 52.10 Mn |
| Jun 30, 2025 | 57.80 Mn |
| Mar 31, 2025 | 50.80 Mn |
| Dec 31, 2024 | 54.60 Mn |
| Sep 30, 2024 | 47.40 Mn |
| Jun 30, 2024 | 61.80 Mn |
| Mar 31, 2024 | 116.80 Mn |
| Dec 31, 2023 | 26.30 Mn |
| Sep 30, 2023 | 72.40 Mn |
| Jun 30, 2023 | 78.90 Mn |
| Mar 31, 2023 | 63.00 Mn |
| Dec 31, 2022 | 66.30 Mn |
| Sep 30, 2022 | 65.10 Mn |
| Jun 30, 2022 | 60.60 Mn |
| Mar 31, 2022 | 50.90 Mn |
| Dec 31, 2021 | 59.20 Mn |
| Sep 30, 2021 | 54.40 Mn |
API Access
Ingevity Operating Expenses 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=operating-expenses&ticker=NGVT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=NGVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();