Stewart Information Services (STC) Non Operating Interest Expenses (2010 - 2024)
Stewart Information Services (STC) reported Non Operating Interest Expenses of $5.06 million for Q1 2024, up 4.3% from $4.85 million a year earlier and up 2.0% from the prior quarter.
Stewart Information Services (STC) Non Operating Interest Expenses (2010 - 2024) Analysis & Trends
Over the twelve months ended Mar 31, 2024, Stewart Information Services' Non Operating Interest Expenses came in at $19.95 million, up 5.9% year-over-year; for FY2023, it was $19.74 million, up 7.2% from FY2022.
- Non Operating Interest Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 38.5% (FY2018 to FY2023).
- By year, Non Operating Interest Expenses came in at $18.4 million in FY2022 (+265.8%), $5.03 million in FY2021 (+91.7%), $2.62 million in FY2020 (-39.6%) and $4.34 million in FY2019 (+12.0%).
- The Q1 2024 figure ranks as the highest quarterly Non Operating Interest Expenses in data going back to Q2 2010.
- Year over year, Non Operating Interest Expenses has now increased in each of the last 12 quarters, with growth averaging 149.4% over the last eight quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q1 2022 (growth of 678.1%); the low point was Q3 2020 (a decline of 48.0%).
- Per Business Quant data, the three quarters before Q1 2024 came in at $4.96 million (Q4 2023), $5.05 million (Q3 2023) and $4.88 million (Q2 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 1.34 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 200.00 Mn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 88.00 Mn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 250.00 Mn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 113.00 Mn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | -280.50 Mn |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | - |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 168.00 Mn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | - |
| 10 | Stewart Information Services | 1.75 Bn | 533.81 Mn | 877.17 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 5.06 Mn |
| Dec 31, 2023 | 4.96 Mn |
| Sep 30, 2023 | 5.05 Mn |
| Jun 30, 2023 | 4.88 Mn |
| Mar 31, 2023 | 4.85 Mn |
| Dec 31, 2022 | 4.93 Mn |
| Sep 30, 2022 | 4.55 Mn |
| Jun 30, 2022 | 4.51 Mn |
| Mar 31, 2022 | 4.41 Mn |
| Dec 31, 2021 | 3.07 Mn |
| Sep 30, 2021 | 712,000.00 |
| Jun 30, 2021 | 682,000.00 |
| Mar 31, 2021 | 567,000.00 |
| Dec 31, 2020 | 549,000.00 |
| Sep 30, 2020 | 562,000.00 |
| Jun 30, 2020 | 622,000.00 |
| Mar 31, 2020 | 892,000.00 |
| Dec 31, 2019 | 972,000.00 |
| Sep 30, 2019 | 1.08 Mn |
| Jun 30, 2019 | 1.12 Mn |
Stewart Information Services 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=STC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();