Stewart Information Services (STC) EV to EBITDA (2013 - 2026)
Stewart Information Services' (STC) EV to EBITDA stood at 9.85 in Q2 2026, down 31.7% from 14.42 a year earlier but up 3.0% from the prior quarter.
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Analysis
Stewart Information Services (STC) EV to EBITDA (2013 - 2026) Analysis & Trends
On a TTM basis, Stewart Information Services' EV to EBITDA came in at 4.55 as of Jun 30, 2026, down 42.9% year-over-year; for FY2025, it came in at 12.16, down 28.5% from FY2024.
- Across earlier years, EV to EBITDA came in at 17.02 in FY2024 (-45.5%), 31.21 in FY2023 (+552.6%), 4.78 in FY2022 (-0.5%) and 4.80 in FY2021 (-30.5%).
- Quarterly EV to EBITDA has ranged from 2.57 in Q2 2022 to 31.21 in Q4 2023 over the past five years.
- On a year-over-year basis, EV to EBITDA has declined for seven consecutive quarters, with an average decline of 31.7% over the last eight quarters.
- Peak year-over-year performance for EV to EBITDA in the last five years was growth of 642.1% in Q3 2023, against a decline of 68.7% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 9.56 (Q1 2026), 12.16 (Q4 2025) and 13.94 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 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 | - |
| 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.85 |
| Mar 31, 2026 | 9.56 |
| Dec 31, 2025 | 12.16 |
| Sep 30, 2025 | 13.94 |
| Jun 30, 2025 | 14.42 |
| Mar 31, 2025 | 19.23 |
| Dec 31, 2024 | 17.02 |
| Sep 30, 2024 | 22.94 |
| Jun 30, 2024 | 23.86 |
| Mar 31, 2024 | 25.95 |
| Dec 31, 2023 | 31.21 |
| Sep 30, 2023 | 21.36 |
| Jun 30, 2023 | 14.98 |
| Mar 31, 2023 | 7.30 |
| Dec 31, 2022 | 4.62 |
| Sep 30, 2022 | 2.88 |
| Jun 30, 2022 | 2.57 |
| Mar 31, 2022 | 3.46 |
| Dec 31, 2021 | 4.80 |
| Sep 30, 2021 | 3.71 |
API Access
Stewart Information Services EV to 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=ev-to-ebitda&ticker=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();