Stewart Information Services (STC) Depreciation & Amortization (CF) (2010 - 2026)
Stewart Information Services (STC) recorded Depreciation & Amortization (CF) of $17.63 million in Q2 2026, up 16.4% from $15.15 million a year earlier and up 4.6% from the prior quarter.
Stewart Information Services (STC) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
On a TTM basis, Stewart Information Services' Depreciation & Amortization (CF) came in at $65.09 million as of Jun 30, 2026, up 5.8% year-over-year; for FY2025, it was $61.07 million, down 0.9% from FY2024.
- Annual Depreciation & Amortization (CF) has a five-year compound annual growth rate of 26.0% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $61.61 million in FY2024 (-1.3%), $62.45 million in FY2023 (+9.2%), $57.18 million in FY2022 (+57.1%) and $36.39 million in FY2021 (+89.4%).
- The Q2 2026 figure is the highest quarterly Depreciation & Amortization (CF) in data going back to Q2 2010.
- On a year-over-year basis, Depreciation & Amortization (CF) rose in two of the last eight quarters, with growth averaging 2.1%.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 142.1% in Q4 2021, against a decline of 5.7% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $16.86 million (Q1 2026), $15.21 million (Q4 2025) and $15.39 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 3.61 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | - |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 82.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 90.00 Mn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 170.00 Mn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | - |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | - |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 49.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 358.00 Mn |
| 10 | Stewart Information Services | 1.51 Bn | 292.96 Mn | 877.17 Mn | 17.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.63 Mn |
| Mar 31, 2026 | 16.86 Mn |
| Dec 31, 2025 | 15.21 Mn |
| Sep 30, 2025 | 15.39 Mn |
| Jun 30, 2025 | 15.15 Mn |
| Mar 31, 2025 | 15.32 Mn |
| Dec 31, 2024 | 15.55 Mn |
| Sep 30, 2024 | 15.48 Mn |
| Jun 30, 2024 | 15.20 Mn |
| Mar 31, 2024 | 15.38 Mn |
| Dec 31, 2023 | 15.60 Mn |
| Sep 30, 2023 | 16.41 Mn |
| Jun 30, 2023 | 15.53 Mn |
| Mar 31, 2023 | 14.91 Mn |
| Dec 31, 2022 | 15.08 Mn |
| Sep 30, 2022 | 14.07 Mn |
| Jun 30, 2022 | 14.29 Mn |
| Mar 31, 2022 | 13.75 Mn |
| Dec 31, 2021 | 13.99 Mn |
| Sep 30, 2021 | 9.14 Mn |
Stewart Information Services Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=STC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();