Stewart Information Services (STC) Dividends Paid - Common (2014 - 2026)
Stewart Information Services' Dividends Paid - Common was $16.4 million in Q2 2026, up 17.4% from $13.97 million a year earlier and up 0.3% from the prior quarter.
Stewart Information Services (STC) Dividends Paid - Common (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Stewart Information Services' Dividends Paid - Common was $63.31 million through Jun 30, 2026, up 13.8% year-over-year; for FY2025, it came in at $58.49 million, up 8.5% from FY2024.
- Dividends Paid - Common has now increased for 16 consecutive years, with a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- In earlier years, Dividends Paid - Common was $53.92 million in FY2024 (+6.7%), $50.52 million in FY2023 (+13.1%), $44.67 million in FY2022 (+21.9%) and $36.64 million in FY2021 (+21.2%).
- The Q2 2026 figure marks the highest quarterly Dividends Paid - Common in data going back to Q4 2014.
- Compared with a year earlier, Dividends Paid - Common has increased for 34 straight quarters, with growth averaging 10.2% over the last eight quarters.
- The year-over-year growth in Dividends Paid - Common has ranged between 6.1% (Q3 2025) and 37.6% (Q3 2022) over the last five years.
- Per Business Quant data, STC's Dividends Paid - Common in the three quarters before Q2 2026 was $16.34 million (Q1 2026), $15.87 million (Q4 2025) and $14.71 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div. Paid (Common) (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | - |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 398.00 Mn |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 58.00 Mn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 476.00 Mn |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 259.00 Mn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | -575.04 Mn |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 180.00 Mn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | 174.00 Mn |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | 275.00 Mn |
| 10 | Stewart Information Services | 1.37 Bn | 175.90 Mn | 877.17 Mn | 16.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16.94 Mn |
| Jun 30, 2026 | 16.40 Mn |
| Mar 31, 2026 | 16.34 Mn |
| Dec 31, 2025 | 15.87 Mn |
| Sep 30, 2025 | 14.71 Mn |
| Jun 30, 2025 | 13.97 Mn |
| Mar 31, 2025 | 13.94 Mn |
| Dec 31, 2024 | 13.88 Mn |
| Sep 30, 2024 | 13.86 Mn |
| Jun 30, 2024 | 13.11 Mn |
| Mar 31, 2024 | 13.07 Mn |
| Dec 31, 2023 | 13.00 Mn |
| Sep 30, 2023 | 12.99 Mn |
| Jun 30, 2023 | 12.27 Mn |
| Mar 31, 2023 | 12.26 Mn |
| Dec 31, 2022 | 12.21 Mn |
| Sep 30, 2022 | 12.21 Mn |
| Jun 30, 2022 | 10.14 Mn |
| Mar 31, 2022 | 10.12 Mn |
| Dec 31, 2021 | 10.08 Mn |
Stewart Information Services Dividends Paid - Common 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=dividends-paid-common&ticker=STC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-paid-common", "ticker": "STC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=dividends-paid-common&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();