Newmarket (NEU) Depreciation & Amortization (CF) (2009 - 2026)
Newmarket (NEU) reported Depreciation & Amortization (CF) of $31.8 million for Q2 2026, up 11.6% from $28.49 million a year earlier and up 0.4% from the prior quarter.
Newmarket (NEU) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Newmarket's Depreciation & Amortization (CF) came in at $128.61 million, up 8.0% year-over-year; for FY2025, it was $122.42 million, up 4.7% from FY2024.
- Depreciation & Amortization (CF) has a five-year compound annual growth rate of 7.8% (FY2020 to FY2025).
- By year, Depreciation & Amortization (CF) came in at $116.96 million in FY2024 (+49.9%), $78.01 million in FY2023 (-5.2%), $82.29 million in FY2022 (-2.4%) and $84.32 million in FY2021 (+0.4%).
- Five-year quarterly Depreciation & Amortization (CF) spans a low of $17.11 million in Q3 2023 and a high of $33.1 million in Q3 2025.
- Year over year, Depreciation & Amortization (CF) gained in six of the last eight quarters, with growth averaging 21.6%.
- The high point for year-over-year Depreciation & Amortization (CF) in five years was Q3 2024 (growth of 74.0%); the low point was Q3 2023 (a decline of 16.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $31.66 million (Q1 2026), $32.05 million (Q4 2025) and $33.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn | 963.00 Mn |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn | 368.00 Mn |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn | 98.50 Mn |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn | 385.40 Mn |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn | 347.00 Mn |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn | 604.00 Mn |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn | 134.00 Mn |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn | 218.00 Mn |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn | 664.00 Mn |
| 10 | Newmarket | 8.05 Bn | 7.70 Bn | 242.43 Mn | 31.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.80 Mn |
| Mar 31, 2026 | 31.66 Mn |
| Dec 31, 2025 | 32.05 Mn |
| Sep 30, 2025 | 33.10 Mn |
| Jun 30, 2025 | 28.49 Mn |
| Mar 31, 2025 | 28.78 Mn |
| Dec 31, 2024 | 32.06 Mn |
| Sep 30, 2024 | 29.76 Mn |
| Jun 30, 2024 | 29.32 Mn |
| Mar 31, 2024 | 25.81 Mn |
| Dec 31, 2023 | 20.35 Mn |
| Sep 30, 2023 | 17.11 Mn |
| Jun 30, 2023 | 20.25 Mn |
| Mar 31, 2023 | 20.31 Mn |
| Dec 31, 2022 | 20.13 Mn |
| Sep 30, 2022 | 20.49 Mn |
| Jun 30, 2022 | 20.60 Mn |
| Mar 31, 2022 | 21.07 Mn |
| Dec 31, 2021 | 21.25 Mn |
| Sep 30, 2021 | 21.36 Mn |
Newmarket Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=NEU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "NEU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-amortization-cf&ticker=NEU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();