Ingevity (NGVT) Selling, General & Administrative (2015 - 2026)
Ingevity (NGVT) posted Selling, General & Administrative of $39 million for Q2 2026, down 10.6% from $43.6 million a year earlier and down 4.2% from the prior quarter.
Ingevity (NGVT) Selling, General & Administrative (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Ingevity was $165.4 million, up 2.3% year-over-year; for FY2025, it came in at $171.2 million, up 8.5% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- In prior years, Ingevity's Selling, General & Administrative was $157.8 million in FY2024 (-2.5%), $161.8 million in FY2023 (-18.6%), $198.8 million in FY2022 (+10.9%) and $179.3 million in FY2021 (+20.0%).
- The Q2 2026 figure stands as the lowest quarterly Selling, General & Administrative since Q4 2024.
- On a year-over-year basis, Selling, General & Administrative increased in four of the last eight quarters, with growth averaging 9.8%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q4 2024, with growth of 78.1%; the weakest was Q4 2023, with a decline of 61.5%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $40.7 million (Q1 2026), $41.6 million (Q4 2025) and $44.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 239.54 Bn | 223.24 Bn | 4.44 Bn | 892.00 Mn |
| 2 | Corning | 96.61 Bn | 88.91 Bn | 1.81 Bn | 563.00 Mn |
| 3 | Sherwin Williams | 85.84 Bn | 84.86 Bn | 3.28 Bn | 2.07 Bn |
| 4 | Air Products & Chemicals | 69.53 Bn | 72.40 Bn | - | 228.20 Mn |
| 5 | LyondellBasell Industries | 39.13 Bn | 27.31 Bn | 1.50 Bn | 394.00 Mn |
| 6 | Nutrien | 34.78 Bn | 31.35 Bn | 1.86 Bn | 158.00 Mn |
| 7 | Ppg Industries | 27.48 Bn | 20.55 Bn | 1.76 Bn | 876.00 Mn |
| 8 | Qnity Electronics | 25.83 Bn | 22.27 Bn | 743.00 Mn | 200.00 Mn |
| 9 | Ati | 24.82 Bn | 22.90 Bn | 380.20 Mn | 107.70 Mn |
| 10 | Ingevity | 2.06 Bn | 1.45 Bn | 132.80 Mn | 38.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 38.10 Mn |
| Jun 30, 2026 | 39.00 Mn |
| Mar 31, 2026 | 40.70 Mn |
| Dec 31, 2025 | 41.60 Mn |
| Sep 30, 2025 | 44.10 Mn |
| Jun 30, 2025 | 43.60 Mn |
| Mar 31, 2025 | 41.90 Mn |
| Dec 31, 2024 | 38.30 Mn |
| Sep 30, 2024 | 37.90 Mn |
| Jun 30, 2024 | 41.40 Mn |
| Mar 31, 2024 | 47.20 Mn |
| Dec 31, 2023 | 21.50 Mn |
| Sep 30, 2023 | 40.00 Mn |
| Jun 30, 2023 | 51.70 Mn |
| Mar 31, 2023 | 48.60 Mn |
| Dec 31, 2022 | 55.90 Mn |
| Sep 30, 2022 | 54.20 Mn |
| Jun 30, 2022 | 48.70 Mn |
| Mar 31, 2022 | 40.00 Mn |
| Dec 31, 2021 | 48.30 Mn |
Ingevity Selling, General & Administrative 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=selling-general-and-administrative&ticker=NGVT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=NGVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();