Kingsway (KWY) Amortization - Intangibles (2011 - 2026)
Kingsway (KWY) posted Amortization - Intangibles of $2.4 million for Q2 2026, up 3.23% on a QoQ basis from $2.4 million in Q1 2026, and up 31.6% year-over-year from $1.8 million in Q2 2025.
Kingsway (KWY) Amortization - Intangibles (2011 - 2026) Analysis & Trends
Kingsway has reported Amortization - Intangibles for 16 years, with the latest figure at $2.4 million in Q2 2026.
- On a quarterly basis, Amortization - Intangibles rose 31.6% year-over-year to $2.4 million in Q2 2026; TTM through Jun 2026 was $9.6 million, a 36.0% increase from a year earlier, with the FY2025 full-year figure at $8.2 million, up 30.08% from the prior year.
- Amortization - Intangibles was $2.4 million for Q2 2026 at Kingsway, up from $2.4 million in the prior quarter.
- The five-year high for Amortization - Intangibles was $2.4 million in Q2 2026, with the low at $1.4 million in Q3 2022.
- Average Amortization - Intangibles over 5 years is $1.8 million, with a median of $1.6 million recorded in 2023.
- The largest YoY upside for Amortization - Intangibles was 188.4% in 2022 against a maximum downside of 42.43% in 2022.
- Over 5 years, Amortization - Intangibles stood at $1.9 million in 2022, then declined by 14.91% to $1.6 million in 2023, then climbed by 24.05% to $2.0 million in 2024, then advanced by 20.24% to $2.4 million in 2025, then increased by 1.17% to $2.4 million in 2026.
- The last three Amortization - Intangibles figures came in at $2.4 million (Q2 2026), $2.4 million (Q1 2026), and $2.4 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 124.23 Bn | 115.18 Bn | 6.13 Bn |
| 2 | UL Solutions | 13.40 Bn | 13.00 Bn | 417.00 Mn |
| 3 | Gartner | 11.57 Bn | 10.08 Bn | 1.19 Bn |
| 4 | Booz Allen Hamilton Holding | 9.30 Bn | 8.76 Bn | 1.46 Bn |
| 5 | Tetra Tech | 9.21 Bn | 8.98 Bn | 243.21 Mn |
| 6 | Genpact | 5.73 Bn | 5.21 Bn | 490.34 Mn |
| 7 | Grand Canyon Education | 3.95 Bn | 3.68 Bn | 204.08 Mn |
| 8 | Fti Consulting | 3.90 Bn | 3.73 Bn | 316.27 Mn |
| 9 | Korn Ferry | 3.90 Bn | 3.09 Bn | 681.29 Mn |
| 10 | Kingsway | 278.52 Mn | 227.44 Mn | 17.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.43 Mn |
| Mar 31, 2026 | 2.35 Mn |
| Dec 31, 2025 | 2.40 Mn |
| Sep 30, 2025 | 2.40 Mn |
| Jun 30, 2025 | 1.85 Mn |
| Mar 31, 2025 | 1.77 Mn |
| Dec 31, 2024 | 2.00 Mn |
| Sep 30, 2024 | 1.44 Mn |
| Jun 30, 2024 | 1.50 Mn |
| Mar 31, 2024 | 1.41 Mn |
| Dec 31, 2023 | 1.61 Mn |
| Sep 30, 2023 | 1.42 Mn |
| Jun 30, 2023 | 1.41 Mn |
| Mar 31, 2023 | 1.42 Mn |
| Dec 31, 2022 | 1.89 Mn |
| Sep 30, 2022 | 1.40 Mn |
| Jun 30, 2022 | 1.44 Mn |
| Mar 31, 2022 | 1.44 Mn |
| Dec 31, 2021 | 1.41 Mn |
| Sep 30, 2021 | 2.43 Mn |
Kingsway Amortization - Intangibles 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=amortization-intangibles&ticker=KWY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "KWY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=KWY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();