Rayonier Advanced Materials (RYAM) Operating Expenses (2013 - 2026)
Rayonier Advanced Materials (RYAM) posted Operating Expenses of $18.07 million for Q2 2026, down 0.7% from $18.19 million a year earlier and down 5.8% from the prior quarter.
Rayonier Advanced Materials (RYAM) Operating Expenses (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Operating Expenses at Rayonier Advanced Materials was $80.6 million, down 20.4% year-over-year; for FY2025, it came in at $85.22 million, down 21.7% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- In prior years, Rayonier Advanced Materials' Operating Expenses was $108.89 million in FY2024 (+43.8%), $75.71 million in FY2023 (-17.2%), $91.48 million in FY2022 (+20.7%) and $75.79 million in FY2021 (-2.8%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q4 2023.
- On a year-over-year basis, Operating Expenses has declined in each of the last five quarters, with growth averaging 2.0% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2024, with growth of 69.2%; the weakest was Q2 2025, with a decline of 36.0%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $19.17 million (Q1 2026), $19.9 million (Q4 2025) and $23.46 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 230.94 Bn | 212.51 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 116.37 Bn | 108.94 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 82.13 Bn | 81.17 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 67.18 Bn | 62.37 Bn | 1.04 Bn | 3.15 Bn |
| 5 | LyondellBasell Industries | 40.49 Bn | 30.00 Bn | 2.04 Bn | 7.63 Bn |
| 6 | Nutrien | 32.85 Bn | 29.68 Bn | 3.25 Bn | 235.00 Mn |
| 7 | Qnity Electronics | 25.25 Bn | 22.39 Bn | 666.00 Mn | 298.00 Mn |
| 8 | Ati | 24.82 Bn | 22.84 Bn | 309.80 Mn | 99.60 Mn |
| 9 | Ppg Industries | 24.37 Bn | 17.03 Bn | 1.81 Bn | 1.15 Bn |
| 10 | Rayonier Advanced Materials | 470.88 Mn | 193.51 Mn | 22.95 Mn | 18.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 18.07 Mn |
| Mar 28, 2026 | 19.17 Mn |
| Dec 31, 2025 | 19.90 Mn |
| Sep 27, 2025 | 23.46 Mn |
| Jun 28, 2025 | 18.19 Mn |
| Mar 29, 2025 | 23.66 Mn |
| Dec 31, 2024 | 28.87 Mn |
| Sep 28, 2024 | 30.51 Mn |
| Jun 29, 2024 | 28.44 Mn |
| Mar 30, 2024 | 21.08 Mn |
| Dec 31, 2023 | 17.06 Mn |
| Sep 30, 2023 | 21.16 Mn |
| Jul 1, 2023 | 18.00 Mn |
| Apr 1, 2023 | 19.50 Mn |
| Dec 31, 2022 | 23.43 Mn |
| Sep 24, 2022 | 19.91 Mn |
| Jun 25, 2022 | 28.03 Mn |
| Mar 26, 2022 | 20.11 Mn |
| Dec 31, 2021 | 24.24 Mn |
| Sep 25, 2021 | 17.47 Mn |
Rayonier Advanced Materials 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=RYAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "RYAM", "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=RYAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();