Arthur J. Gallagher (AJG) Non Operating Interest Expenses (2009 - 2026)
Arthur J. Gallagher's Non Operating Interest Expenses was $168 million in Q2 2026, up 6.3% from $158 million a year earlier and up 6.3% from the prior quarter.
Arthur J. Gallagher (AJG) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Arthur J. Gallagher's Non Operating Interest Expenses was $648 million through Jun 30, 2026, up 26.9% year-over-year; for FY2025, it was $639 million, up 67.7% from FY2024.
- Non Operating Interest Expenses has now increased for 16 consecutive years, with a five-year compound annual growth rate of 26.6% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $381 million in FY2024 (+28.3%), $297 million in FY2023 (+15.6%), $256.9 million in FY2022 (+13.6%) and $226.1 million in FY2021 (+15.1%).
- The Q2 2026 figure marks the highest quarterly Non Operating Interest Expenses in data going back to Q2 2009.
- Compared with a year earlier, Non Operating Interest Expenses was higher in seven of the last eight quarters, with growth averaging 41.8%.
- The year-over-year growth in Non Operating Interest Expenses has ranged between 0.0% (Q1 2026) and 73.1% (Q3 2025) over the last five years.
- Per Business Quant data, AJG's Non Operating Interest Expenses in the three quarters before Q2 2026 was $158 million (Q1 2026), $161.2 million (Q4 2025) and $160.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 134.23 Bn | 80.81 Bn | 9.13 Bn | 200.00 Mn |
| 2 | Progressive | 129.78 Bn | 105.62 Bn | 9.04 Bn | 88.00 Mn |
| 3 | Marsh & Mclennan Companies | 85.33 Bn | 76.83 Bn | - | 250.00 Mn |
| 4 | Travelers Companies | 78.56 Bn | 54.81 Bn | 6.23 Bn | 113.00 Mn |
| 5 | Manulife Financial | 73.83 Bn | -21.05 Bn | - | -280.50 Mn |
| 6 | Metlife | 64.38 Bn | -42.40 Bn | 7.82 Bn | - |
| 7 | Allstate | 60.57 Bn | 21.84 Bn | 8.73 Bn | - |
| 8 | Arthur J. Gallagher | 60.14 Bn | 54.55 Bn | - | 168.00 Mn |
| 9 | Aflac | 58.65 Bn | 33.87 Bn | 2.27 Bn | - |
| 10 | Aon | 58.65 Bn | 51.87 Bn | - | 179.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 168.00 Mn |
| Mar 31, 2026 | 158.00 Mn |
| Dec 31, 2025 | 161.20 Mn |
| Sep 30, 2025 | 160.80 Mn |
| Jun 30, 2025 | 158.00 Mn |
| Mar 31, 2025 | 158.00 Mn |
| Dec 31, 2024 | 101.60 Mn |
| Sep 30, 2024 | 92.90 Mn |
| Jun 30, 2024 | 94.30 Mn |
| Mar 31, 2024 | 92.20 Mn |
| Dec 31, 2023 | 78.50 Mn |
| Sep 30, 2023 | 72.80 Mn |
| Jun 30, 2023 | 77.80 Mn |
| Mar 31, 2023 | 67.90 Mn |
| Dec 31, 2022 | 64.00 Mn |
| Sep 30, 2022 | 64.40 Mn |
| Jun 30, 2022 | 64.60 Mn |
| Mar 31, 2022 | 63.90 Mn |
| Dec 31, 2021 | 61.50 Mn |
| Sep 30, 2021 | 60.30 Mn |
Arthur J. Gallagher Non Operating Interest 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=non-operating-interest-expenses&ticker=AJG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "AJG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=AJG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();