Orion (OEC) Operating Expenses (2017 - 2026)
Orion (OEC) recorded Operating Expenses of $69.9 million in Q2 2026, up 8.9% from $64.2 million a year earlier and up 5.3% from the prior quarter.
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Analysis
Orion (OEC) Operating Expenses (2017 - 2026) Analysis & Trends
On a TTM basis, Orion's Operating Expenses came in at $265.3 million as of Jun 30, 2026, up 2.4% year-over-year; for FY2025, it came in at $258.2 million, down 2.5% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $264.9 million in FY2024 (+7.5%), $246.4 million in FY2023 (-1.0%), $248.8 million in FY2022 (+7.1%) and $232.4 million in FY2021 (+14.0%).
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q2 2017.
- On a year-over-year basis, Operating Expenses rose in four of the last eight quarters, with growth averaging 1.9%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 16.0% in Q3 2021, against a decline of 8.5% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $66.4 million (Q1 2026), $64.6 million (Q4 2025) and $64.4 million (Q3 2025).
Peer Set
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 | Orion | 290.47 Mn | 77.17 Mn | 93.00 Mn | 69.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.90 Mn |
| Mar 31, 2026 | 66.40 Mn |
| Dec 31, 2025 | 64.60 Mn |
| Sep 30, 2025 | 64.40 Mn |
| Jun 30, 2025 | 64.20 Mn |
| Mar 31, 2025 | 65.00 Mn |
| Dec 31, 2024 | 65.10 Mn |
| Sep 30, 2024 | 64.90 Mn |
| Jun 30, 2024 | 66.80 Mn |
| Mar 31, 2024 | 68.10 Mn |
| Dec 31, 2023 | 59.80 Mn |
| Sep 30, 2023 | 61.80 Mn |
| Jun 30, 2023 | 60.90 Mn |
| Mar 31, 2023 | 63.90 Mn |
| Dec 31, 2022 | 59.70 Mn |
| Sep 30, 2022 | 60.50 Mn |
| Jun 30, 2022 | 65.60 Mn |
| Mar 31, 2022 | 63.00 Mn |
| Dec 31, 2021 | 55.70 Mn |
| Sep 30, 2021 | 58.60 Mn |
API Access
Orion 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=OEC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "OEC", "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=OEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();