Hubbell (HUBB) Operating Expenses (2009 - 2026)
Hubbell (HUBB) reported Operating Expenses of $264.4 million for Q2 2026, up 22.5% from $215.8 million a year earlier and up 9.5% from the prior quarter.
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Analysis
Hubbell (HUBB) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Hubbell's Operating Expenses came in at $933.2 million, up 14.7% year-over-year; for FY2025, it came in at $855.3 million, up 5.3% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- By year, Operating Expenses came in at $812.5 million in FY2024 (-4.4%), $849.6 million in FY2023 (+11.4%), $762.5 million in FY2022 (+23.1%) and $619.2 million in FY2021 (+4.7%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q3 2009.
- Year over year, Operating Expenses has now increased in each of the last five quarters, with growth averaging 4.2% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2022 (growth of 25.6%); the low point was Q4 2024 (a decline of 16.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $241.5 million (Q1 2026), $213.6 million (Q4 2025) and $213.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Hubbell | 23.97 Bn | 21.89 Bn | 613.00 Mn | 264.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 264.40 Mn |
| Mar 31, 2026 | 241.50 Mn |
| Dec 31, 2025 | 213.60 Mn |
| Sep 30, 2025 | 213.70 Mn |
| Jun 30, 2025 | 215.80 Mn |
| Mar 31, 2025 | 212.20 Mn |
| Dec 31, 2024 | 192.50 Mn |
| Sep 30, 2024 | 193.30 Mn |
| Jun 30, 2024 | 207.50 Mn |
| Mar 31, 2024 | 219.20 Mn |
| Dec 31, 2023 | 230.60 Mn |
| Sep 30, 2023 | 211.10 Mn |
| Jun 30, 2023 | 208.40 Mn |
| Mar 31, 2023 | 199.50 Mn |
| Dec 31, 2022 | 194.80 Mn |
| Sep 30, 2022 | 194.90 Mn |
| Jun 30, 2022 | 192.60 Mn |
| Mar 31, 2022 | 180.20 Mn |
| Dec 31, 2021 | 155.60 Mn |
| Sep 30, 2021 | 155.20 Mn |
API Access
Hubbell 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=HUBB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HUBB", "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=HUBB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();