Jackson Financial (JXN) Operating Expenses (2020 - 2026)
Jackson Financial's Operating Expenses came in at $687 million for Q2 2026, up 0.9% from $681 million a year earlier but down 79.2% from the prior quarter.
Powered by 
Analysis
Jackson Financial (JXN) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Jackson Financial reported Operating Expenses of $7.68 billion, up 1.5% year-over-year; for FY2025, it came in at $6.8 billion, up 140.6% from FY2024.
- Operating Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $2.83 billion in FY2024 (+10.8%), $2.55 billion in FY2023 (+4.8%), $2.43 billion in FY2022 (-14.3%) and $2.84 billion in FY2021 (-53.0%).
- The five-year range for quarterly Operating Expenses is -$1.23 billion (Q1 2024) to $3.77 billion (Q1 2025).
- Year-over-year, Operating Expenses increased in two of the last six quarters, with growth averaging 55.0%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2025 (growth of 457.2%), and the weakest in Q1 2022 (a decline of 67.0%).
- Business Quant data shows JXN's Operating Expenses at $3.3 billion (Q1 2026), $2.35 billion (Q4 2025) and $1.34 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 86.07 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 12.19 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 19.40 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 5.51 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 9.39 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | -902.21 Mn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 3.33 Bn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 3.59 Bn |
| 10 | Jackson Financial | 8.81 Bn | -12.47 Bn | - | 687.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 687.00 Mn |
| Mar 31, 2026 | 3.30 Bn |
| Dec 31, 2025 | 2.35 Bn |
| Sep 30, 2025 | 1.34 Bn |
| Jun 30, 2025 | 681.00 Mn |
| Mar 31, 2025 | 3.77 Bn |
| Dec 31, 2024 | 421.00 Mn |
| Sep 30, 2024 | 2.70 Bn |
| Jun 30, 2024 | 929.00 Mn |
| Mar 31, 2024 | -1.23 Bn |
| Dec 31, 2023 | 687.00 Mn |
| Sep 30, 2023 | -917.00 Mn |
| Jun 30, 2023 | -1.09 Bn |
| Mar 31, 2023 | 1.29 Bn |
| Dec 31, 2022 | 572.00 Mn |
| Sep 30, 2022 | 592.00 Mn |
| Jun 30, 2022 | 2.56 Bn |
| Mar 31, 2022 | 666.00 Mn |
| Dec 31, 2021 | 977.00 Mn |
| Sep 30, 2021 | 1.32 Bn |
API Access
Jackson Financial 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=JXN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "JXN", "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=JXN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();