Bladex (BLX) Amortization of Intangibles (2011 - 2026)
Bladex's Amortization of Intangibles came in at $726,000 for Q2 2026, up 108.6% from $348,000 a year earlier and up 3.6% from the prior quarter.
Bladex (BLX) Amortization of Intangibles (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bladex reported Amortization of Intangibles of $2.73 million, up 116.1% year-over-year; for FY2025, it was $1.98 million, up 85.9% from FY2024.
- Amortization of Intangibles has increased in each of the last three years, with a five-year compound annual growth rate of 21.3% (FY2020 to FY2025).
- Going back by year, Amortization of Intangibles was $1.06 million in FY2024 (+30.7%), $814,000 in FY2023 (+45.1%), $561,000 in FY2022 (-24.4%) and $742,000 in FY2021 (-1.5%).
- The five-year range for quarterly Amortization of Intangibles is $99,000 (Q3 2021) to $949,000 (Q4 2025).
- Year-over-year, Amortization of Intangibles has increased for 16 consecutive quarters, with growth averaging 76.3% over the last eight quarters.
- The fastest year-over-year change in Amortization of Intangibles over five years came in Q4 2025 (growth of 205.1%), and the weakest in Q1 2022 (a decline of 54.2%).
- Business Quant data shows BLX's Amortization of Intangibles at $701,000 (Q1 2026), $949,000 (Q4 2025) and $355,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Bladex | 1.89 Bn | -4.74 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 726,000.00 |
| Mar 31, 2026 | 701,000.00 |
| Dec 31, 2025 | 949,000.00 |
| Sep 30, 2025 | 355,000.00 |
| Jun 30, 2025 | 348,000.00 |
| Mar 31, 2025 | 326,000.00 |
| Dec 31, 2024 | 311,000.00 |
| Sep 30, 2024 | 279,000.00 |
| Jun 30, 2024 | 250,000.00 |
| Mar 31, 2024 | 224,000.00 |
| Dec 31, 2023 | 220,000.00 |
| Sep 30, 2023 | 217,000.00 |
| Jun 30, 2023 | 190,000.00 |
| Mar 31, 2023 | 187,000.00 |
| Dec 31, 2022 | 168,000.00 |
| Sep 30, 2022 | 143,000.00 |
| Jun 30, 2022 | 126,000.00 |
| Mar 31, 2022 | 124,000.00 |
| Dec 31, 2021 | 119,000.00 |
| Sep 30, 2021 | 99,000.00 |
Bladex Amortization of 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-of-intangibles&ticker=BLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-of-intangibles", "ticker": "BLX", "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-of-intangibles&ticker=BLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();