Hubbell (HUBB) Accumulated Expenses (2009 - 2026)
Hubbell (HUBB) recorded Accumulated Expenses of $449.3 million in Q2 2026, up 15.6% from $388.8 million a year earlier but down 0.8% from the prior quarter.
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Analysis
Hubbell (HUBB) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Hubbell reported Accumulated Expenses of $450.7 million, up 21.0% from FY2024.
- Annual Accumulated Expenses has increased for five straight years, with a five-year compound annual growth rate of 14.9% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $372.4 million in FY2024 (+2.0%), $365.2 million in FY2023 (+9.3%), $334.1 million in FY2022 (+26.8%) and $263.4 million in FY2021 (+17.3%).
- Quarterly Accumulated Expenses has ranged from $255.6 million in Q3 2021 to $453.1 million in Q1 2026 over the past five years.
- On a year-over-year basis, Accumulated Expenses has increased for 11 consecutive quarters, with growth averaging 10.9% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 31.1% in Q1 2023, against a decline of 0.8% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $453.1 million (Q1 2026), $450.7 million (Q4 2025) and $375.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 449.30 Mn |
| Mar 31, 2026 | 453.10 Mn |
| Dec 31, 2025 | 450.70 Mn |
| Sep 30, 2025 | 375.10 Mn |
| Jun 30, 2025 | 388.80 Mn |
| Mar 31, 2025 | 421.30 Mn |
| Dec 31, 2024 | 372.40 Mn |
| Sep 30, 2024 | 359.80 Mn |
| Jun 30, 2024 | 374.30 Mn |
| Mar 31, 2024 | 368.90 Mn |
| Dec 31, 2023 | 365.20 Mn |
| Sep 30, 2023 | 303.60 Mn |
| Jun 30, 2023 | 317.10 Mn |
| Mar 31, 2023 | 348.30 Mn |
| Dec 31, 2022 | 334.10 Mn |
| Sep 30, 2022 | 306.20 Mn |
| Jun 30, 2022 | 281.70 Mn |
| Mar 31, 2022 | 265.60 Mn |
| Dec 31, 2021 | 263.40 Mn |
| Sep 30, 2021 | 255.60 Mn |
API Access
Hubbell 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=HUBB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=HUBB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();