Hubbell (HUBB) Accumulated Expenses (2009 - 2026)
Hubbell (HUBB) recorded Accumulated Expenses of $497.8 million in Q3 2026, up 32.7% from $375.1 million a year earlier and up 10.8% 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%).
- The Q3 2026 figure is the highest quarterly Accumulated Expenses in data going back to Q4 2009.
- On a year-over-year basis, Accumulated Expenses has increased for 12 consecutive quarters, with growth averaging 12.6% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 32.7% in Q3 2026, against a decline of 0.8% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $449.3 million (Q2 2026), $453.1 million (Q1 2026) and $450.7 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 257.74 Bn | 229.44 Bn | 7.76 Bn |
| 2 | Deere | 180.16 Bn | 148.25 Bn | 4.66 Bn |
| 3 | Amphenol | 177.62 Bn | 172.32 Bn | 4.02 Bn |
| 4 | Eaton | 127.92 Bn | 124.85 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 115.95 Bn | 114.07 Bn | 2.25 Bn |
| 6 | 3M | 99.41 Bn | 80.85 Bn | 2.78 Bn |
| 7 | Emerson Electric | 90.82 Bn | 83.56 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 82.60 Bn | 79.27 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 67.62 Bn | 56.47 Bn | 1.64 Bn |
| 10 | Hubbell | 22.14 Bn | 20.38 Bn | 688.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 497.80 Mn |
| 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 |
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();