Cabot (CBT) Operating Expenses (2009 - 2026)
Cabot (CBT) recorded Operating Expenses of $86 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 11.7% from $77 million a year earlier and up 6.2% from the prior quarter.
Cabot (CBT) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Cabot's Operating Expenses came in at $332 million as of Jun 30, 2026, up 1.8% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $319 million, down 7.8% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of -2.4% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $346 million in FY2024 (+11.6%), $310 million in FY2023 (-1.0%), $313 million in FY2022 (-9.3%) and $345 million in FY2021 (-4.2%).
- The fiscal Q3 2026 figure is the highest quarterly Operating Expenses since fiscal Q4 2024.
- On a year-over-year basis, Operating Expenses has increased for three consecutive quarters, with an average decline of 2.3% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 33.3% in fiscal Q4 2021, against a decline of 26.9% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $81 million (Q2 2026), $82 million (Q1 2026) and $83 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn | 3.15 Bn |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn | 7.63 Bn |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn | 235.00 Mn |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn | 1.15 Bn |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn | 613.00 Mn |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn | 1.25 Bn |
| 10 | Cabot | 3.84 Bn | 2.98 Bn | 184.00 Mn | 86.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 86.00 Mn |
| Mar 31, 2026 | 81.00 Mn |
| Dec 31, 2025 | 82.00 Mn |
| Sep 30, 2025 | 83.00 Mn |
| Jun 30, 2025 | 77.00 Mn |
| Mar 31, 2025 | 79.00 Mn |
| Dec 31, 2024 | 80.00 Mn |
| Sep 30, 2024 | 90.00 Mn |
| Jun 30, 2024 | 84.00 Mn |
| Mar 31, 2024 | 93.00 Mn |
| Dec 31, 2023 | 91.00 Mn |
| Sep 30, 2023 | 83.00 Mn |
| Jun 30, 2023 | 73.00 Mn |
| Mar 31, 2023 | 81.00 Mn |
| Dec 31, 2022 | 73.00 Mn |
| Sep 30, 2022 | 76.00 Mn |
| Jun 30, 2022 | 65.00 Mn |
| Mar 31, 2022 | 88.00 Mn |
| Dec 31, 2021 | 84.00 Mn |
| Sep 30, 2021 | 104.00 Mn |
Cabot 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=CBT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CBT", "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=CBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();