Stewart Information Services (STC) EBITDA (2010 - 2026)
Stewart Information Services' EBITDA came in at $50.67 million for Q2 2026, up 25.2% from $40.47 million a year earlier and up 129.9% from the prior quarter.
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Analysis
Stewart Information Services (STC) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Stewart Information Services reported EBITDA of $173.69 million, up 56.1% year-over-year; for FY2025, it was $144.98 million, up 51.8% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- Going back by year, EBITDA was $95.51 million in FY2024 (+122.0%), $43.03 million in FY2023 (-77.0%), $187.1 million in FY2022 (-45.6%) and $344.11 million in FY2021 (+180.9%).
- The five-year range for quarterly EBITDA is -$12.92 million (Q1 2023) to $95.25 million (Q3 2021).
- Year-over-year, EBITDA has increased for five consecutive quarters, with growth averaging 110.9% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q1 2026 (growth of 526.1%), and the weakest in Q4 2022 (a decline of 85.0%).
- Business Quant data shows STC's EBITDA at $22.04 million (Q1 2026), $43.97 million (Q4 2025) and $57.02 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | -26.60 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | - |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | -10.28 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 2.13 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | -1.20 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | - |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | - |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 940.00 Mn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | -5.63 Bn |
| 10 | Stewart Information Services | 1.75 Bn | 533.81 Mn | 877.17 Mn | 50.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.67 Mn |
| Mar 31, 2026 | 22.04 Mn |
| Dec 31, 2025 | 43.97 Mn |
| Sep 30, 2025 | 57.02 Mn |
| Jun 30, 2025 | 40.47 Mn |
| Mar 31, 2025 | 3.52 Mn |
| Dec 31, 2024 | 30.26 Mn |
| Sep 30, 2024 | 36.99 Mn |
| Jun 30, 2024 | 23.11 Mn |
| Mar 31, 2024 | 5.15 Mn |
| Dec 31, 2023 | 13.82 Mn |
| Sep 30, 2023 | 21.23 Mn |
| Jun 30, 2023 | 20.90 Mn |
| Mar 31, 2023 | -12.92 Mn |
| Dec 31, 2022 | 14.20 Mn |
| Sep 30, 2022 | 35.31 Mn |
| Jun 30, 2022 | 79.84 Mn |
| Mar 31, 2022 | 64.14 Mn |
| Dec 31, 2021 | 94.50 Mn |
| Sep 30, 2021 | 95.25 Mn |
API Access
Stewart Information Services EBITDA 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=ebitda&ticker=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();