Olin (OLN) Accumulated Expenses (2009 - 2026)
Olin's Accumulated Expenses was $546.1 million in Q2 2026, up 4.9% from $520.6 million a year earlier but down 2.3% from the prior quarter.
Analysis
Olin (OLN) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Olin came in at $630.1 million, up 44.7% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 12.0% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $435.5 million in FY2024 (-3.2%), $450 million in FY2023 (-11.6%), $508.8 million in FY2022 (+11.1%) and $458.1 million in FY2021 (+28.0%).
- Quarterly Accumulated Expenses has moved between $341.6 million (Q1 2024) and $630.1 million (Q4 2025) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for six straight quarters, with growth averaging 24.3% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2025 (growth of 49.3%); the worst was Q3 2023 (a decline of 22.8%).
- Per Business Quant data, OLN's Accumulated Expenses in the three quarters before Q2 2026 was $558.7 million (Q1 2026), $630.1 million (Q4 2025) and $507.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 232.92 Bn | 214.50 Bn | 4.43 Bn |
| 2 | Corning | 114.46 Bn | 107.03 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 80.97 Bn | 80.01 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 66.60 Bn | 61.78 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 41.19 Bn | 30.70 Bn | 2.04 Bn |
| 6 | Nutrien | 33.79 Bn | 30.61 Bn | 3.25 Bn |
| 7 | Ati | 25.83 Bn | 23.86 Bn | 309.80 Mn |
| 8 | Qnity Electronics | 24.96 Bn | 22.09 Bn | 666.00 Mn |
| 9 | Ppg Industries | 23.98 Bn | 16.63 Bn | 1.81 Bn |
| 10 | Olin | 1.73 Bn | 1.05 Bn | 170.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 546.10 Mn |
| Mar 31, 2026 | 558.70 Mn |
| Dec 31, 2025 | 630.10 Mn |
| Sep 30, 2025 | 507.90 Mn |
| Jun 30, 2025 | 520.60 Mn |
| Mar 31, 2025 | 428.40 Mn |
| Dec 31, 2024 | 435.50 Mn |
| Sep 30, 2024 | 343.10 Mn |
| Jun 30, 2024 | 348.80 Mn |
| Mar 31, 2024 | 341.60 Mn |
| Dec 31, 2023 | 450.00 Mn |
| Sep 30, 2023 | 361.00 Mn |
| Jun 30, 2023 | 426.90 Mn |
| Mar 31, 2023 | 427.20 Mn |
| Dec 31, 2022 | 508.80 Mn |
| Sep 30, 2022 | 467.60 Mn |
| Jun 30, 2022 | 483.80 Mn |
| Mar 31, 2022 | 382.10 Mn |
| Dec 31, 2021 | 458.10 Mn |
| Sep 30, 2021 | 434.00 Mn |
API Access
Olin Accumulated 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=accumulated-expenses&ticker=OLN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=OLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();