Equitable Holdings (EQH) Operating Expenses (2017 - 2026)
Equitable Holdings (EQH) recorded Operating Expenses of $2.15 billion in Q2 2026, down 21.1% from $2.73 billion a year earlier and down 35.7% from the prior quarter.
Equitable Holdings (EQH) Operating Expenses (2017 - 2026) Analysis & Trends
On a TTM basis, Equitable Holdings' Operating Expenses came in at $11.23 billion as of Jun 30, 2026, down 11.2% year-over-year; for FY2025, it came in at $12.86 billion, up 24.2% from FY2024.
- Annual Operating Expenses has increased for four straight years, though with a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $10.35 billion in FY2024 (+6.2%), $9.75 billion in FY2023 (+0.8%), $9.67 billion in FY2022 (+93.2%) and $5.01 billion in FY2021 (-62.9%).
- The Q2 2026 figure is the lowest quarterly Operating Expenses since Q1 2024.
- On a year-over-year basis, Operating Expenses rose in three of the last eight quarters, with growth averaging 13.3%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 118.9% in Q1 2025, against a decline of 46.6% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.34 billion (Q1 2026), $2.93 billion (Q4 2025) and $2.8 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.79 Bn | 87.37 Bn | 9.13 Bn | 12.19 Bn |
| 2 | Progressive | 133.60 Bn | 109.44 Bn | 9.04 Bn | 19.40 Bn |
| 3 | Marsh & Mclennan Companies | 94.43 Bn | 86.59 Bn | - | 5.65 Bn |
| 4 | Travelers Companies | 85.56 Bn | 61.81 Bn | 6.23 Bn | 9.39 Bn |
| 5 | Manulife Financial | 77.77 Bn | -17.12 Bn | - | -902.21 Mn |
| 6 | Arthur J. Gallagher | 69.26 Bn | 63.67 Bn | - | 3.59 Bn |
| 7 | Metlife | 66.37 Bn | -40.41 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Allstate | 66.17 Bn | 27.44 Bn | 8.73 Bn | 14.45 Bn |
| 9 | Aon | 65.16 Bn | 58.38 Bn | - | 3.33 Bn |
| 10 | Equitable Holdings | 15.30 Bn | -44.42 Bn | 1.22 Bn | 2.15 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.15 Bn |
| Mar 31, 2026 | 3.34 Bn |
| Dec 31, 2025 | 2.93 Bn |
| Sep 30, 2025 | 2.80 Bn |
| Jun 30, 2025 | 2.73 Bn |
| Mar 31, 2025 | 4.40 Bn |
| Dec 31, 2024 | 2.43 Bn |
| Sep 30, 2024 | 3.08 Bn |
| Jun 30, 2024 | 2.83 Bn |
| Mar 31, 2024 | 2.01 Bn |
| Dec 31, 2023 | 2.92 Bn |
| Sep 30, 2023 | 2.18 Bn |
| Jun 30, 2023 | 1.82 Bn |
| Mar 31, 2023 | 2.82 Bn |
| Dec 31, 2022 | 1.68 Bn |
| Sep 30, 2022 | 2.17 Bn |
| Jun 30, 2022 | 3.42 Bn |
| Mar 31, 2022 | 2.41 Bn |
| Dec 31, 2021 | -3.35 Bn |
| Sep 30, 2021 | 2.69 Bn |
Equitable Holdings 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=EQH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "EQH", "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=EQH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();