Olin (OLN) Operating Expenses (2009 - 2026)
Olin (OLN) recorded Operating Expenses of $113.3 million in Q2 2026, up 10.4% from $102.6 million a year earlier but down 26.5% from the prior quarter.
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Analysis
Olin (OLN) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Olin's Operating Expenses came in at $556.5 million as of Jun 30, 2026, up 27.1% year-over-year; for FY2025, it was $496.7 million, up 12.4% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 2.9% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $441.8 million in FY2024 (-11.0%), $496.3 million in FY2023 (+18.4%), $419.2 million in FY2022 (-5.8%) and $444.8 million in FY2021 (+3.2%).
- Quarterly Operating Expenses has ranged from $100.3 million in Q3 2022 to $188.1 million in Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for three consecutive quarters, with growth averaging 16.8% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 70.1% in Q4 2025, against a decline of 36.2% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $154.1 million (Q1 2026), $188.1 million (Q4 2025) and $101 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.92 Bn | 214.50 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 114.46 Bn | 107.03 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 80.97 Bn | 80.01 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 66.60 Bn | 61.78 Bn | 1.04 Bn | 3.15 Bn |
| 5 | LyondellBasell Industries | 41.19 Bn | 30.70 Bn | 2.04 Bn | 7.63 Bn |
| 6 | Nutrien | 33.79 Bn | 30.61 Bn | 3.25 Bn | 235.00 Mn |
| 7 | Ati | 25.83 Bn | 23.86 Bn | 309.80 Mn | 99.60 Mn |
| 8 | Qnity Electronics | 24.96 Bn | 22.09 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ppg Industries | 23.98 Bn | 16.63 Bn | 1.81 Bn | 1.15 Bn |
| 10 | Olin | 1.73 Bn | 1.05 Bn | 170.20 Mn | 113.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 113.30 Mn |
| Mar 31, 2026 | 154.10 Mn |
| Dec 31, 2025 | 188.10 Mn |
| Sep 30, 2025 | 101.00 Mn |
| Jun 30, 2025 | 102.60 Mn |
| Mar 31, 2025 | 105.00 Mn |
| Dec 31, 2024 | 110.60 Mn |
| Sep 30, 2024 | 119.60 Mn |
| Jun 30, 2024 | 101.40 Mn |
| Mar 31, 2024 | 110.20 Mn |
| Dec 31, 2023 | 100.40 Mn |
| Sep 30, 2023 | 102.80 Mn |
| Jun 30, 2023 | 120.40 Mn |
| Mar 31, 2023 | 172.70 Mn |
| Dec 31, 2022 | 108.90 Mn |
| Sep 30, 2022 | 100.30 Mn |
| Jun 30, 2022 | 102.60 Mn |
| Mar 31, 2022 | 107.40 Mn |
| Dec 31, 2021 | 105.60 Mn |
| Sep 30, 2021 | 110.80 Mn |
API Access
Olin 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=OLN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "OLN", "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=OLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();