Ingevity (NGVT) Net Long-Term Debt Issued (Repaid) (2017 - 2026)
Ingevity (NGVT) posted Non-Current Debt of $1.06 billion for Q2 2026, down 14.5% from $1.24 billion a year earlier and down 2.4% from the prior quarter.
Ingevity (NGVT) Net Long-Term Debt Issued (Repaid) (2017 - 2026) Analysis & Trends
At the end of FY2025, Ingevity's Non-Current Debt came in at $1.16 billion, down 13.3% from FY2024.
- Annual Non-Current Debt has declined for three consecutive years, with a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- In prior years, Ingevity's Non-Current Debt was $1.34 billion in FY2024 (-3.1%), $1.38 billion in FY2023 (-6.1%), $1.47 billion in FY2022 (+17.8%) and $1.25 billion in FY2021 (-1.4%).
- The Q2 2026 figure stands as the lowest quarterly Non-Current Debt since Q1 2022.
- On a year-over-year basis, Non-Current Debt has declined in each of the last 11 quarters, with an average decline of 11.1% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Debt in the past five years was Q1 2023, with growth of 58.9%; the weakest was Q1 2022, with a decline of 25.1%.
- According to Business Quant data, Non-Current Debt for the three prior quarters was $1.08 billion (Q1 2026), $1.16 billion (Q4 2025) and $1.16 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 238.84 Bn | 220.98 Bn | 4.44 Bn | -935.00 Mn |
| 2 | Corning | 98.69 Bn | 90.37 Bn | 1.81 Bn | -376.00 Mn |
| 3 | Sherwin Williams | 85.12 Bn | 84.13 Bn | 3.28 Bn | -500.00 Mn |
| 4 | Air Products & Chemicals | 69.02 Bn | 64.21 Bn | 1.04 Bn | 130.70 Mn |
| 5 | LyondellBasell Industries | 38.36 Bn | 26.43 Bn | 1.50 Bn | - |
| 6 | Nutrien | 34.35 Bn | 30.38 Bn | - | - |
| 7 | Ppg Industries | 27.44 Bn | 20.36 Bn | 1.76 Bn | - |
| 8 | Qnity Electronics | 26.06 Bn | 22.20 Bn | 743.00 Mn | -366.00 Mn |
| 9 | Ati | 25.56 Bn | 23.51 Bn | 380.20 Mn | -359.00 Mn |
| 10 | Ingevity | 2.10 Bn | 1.49 Bn | 132.80 Mn | -54.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -54.70 Mn |
| Jun 30, 2026 | -3.90 Mn |
| Mar 31, 2026 | -4.20 Mn |
| Dec 31, 2025 | 81.80 Mn |
| Sep 30, 2025 | -69.70 Mn |
| Jun 30, 2025 | -62.80 Mn |
| Mar 31, 2025 | -8.00 Mn |
| Dec 31, 2024 | 373.30 Mn |
| Sep 30, 2024 | -5.90 Mn |
| Jun 30, 2024 | 10.70 Mn |
| Mar 31, 2024 | 26.40 Mn |
| Dec 31, 2023 | 376.90 Mn |
| Sep 30, 2023 | -53.60 Mn |
| Jun 30, 2023 | 23.00 Mn |
| Mar 31, 2023 | 30.00 Mn |
| Dec 31, 2022 | 376.70 Mn |
| Jun 30, 2022 | -200,000.00 |
| Mar 31, 2022 | -200,000.00 |
| Dec 31, 2021 | -4.60 Mn |
| Sep 30, 2021 | -200,000.00 |
Ingevity Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=NGVT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=NGVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();