APi (APG) Amortizatization of Intangibles (2019 - 2026)
APi's Amortizatization of Intangibles came in at $68 million for Q2 2026, up 15.3% from $59 million a year earlier and up 7.9% from the prior quarter.
APi (APG) Amortizatization of Intangibles (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, APi reported Amortizatization of Intangibles of $254 million, up 7.6% year-over-year; for FY2025, it was $242 million, up 9.0% from FY2024.
- Amortizatization of Intangibles carries a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- Going back by year, Amortizatization of Intangibles was $222 million in FY2024 (-0.9%), $224 million in FY2023 (-1.3%), $227 million in FY2022 (+78.7%) and $127 million in FY2021 (-30.2%).
- The Q2 2026 figure represents the highest quarterly Amortizatization of Intangibles in data going back to Q1 2019.
- Year-over-year, Amortizatization of Intangibles has increased for seven consecutive quarters, with growth averaging 8.1% over the last eight quarters.
- The fastest year-over-year change in Amortizatization of Intangibles over five years came in Q4 2022 (growth of 93.8%), and the weakest in Q4 2021 (a decline of 33.3%).
- Business Quant data shows APG's Amortizatization of Intangibles at $63 million (Q1 2026), $63 million (Q4 2025) and $60 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 145.07 Bn | 104.35 Bn | 6.13 Bn | - |
| 2 | Cintas | 84.93 Bn | 84.01 Bn | 1.55 Bn | 48.41 Mn |
| 3 | Iron Mountain | 33.24 Bn | 32.43 Bn | 1.07 Bn | 86.61 Mn |
| 4 | APi | 17.33 Bn | 14.36 Bn | 703.00 Mn | 68.00 Mn |
| 5 | Rollins | 15.77 Bn | 15.32 Bn | 569.95 Mn | - |
| 6 | UL Solutions | 14.77 Bn | 13.53 Bn | 417.00 Mn | - |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | - |
| 8 | Gartner | 13.80 Bn | 7.49 Bn | 1.19 Bn | - |
| 9 | Rentokil Initial | 10.70 Bn | 4.22 Bn | - | - |
| 10 | Tetra Tech | 8.94 Bn | 8.04 Bn | 243.21 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.00 Mn |
| Mar 31, 2026 | 63.00 Mn |
| Dec 31, 2025 | 63.00 Mn |
| Sep 30, 2025 | 60.00 Mn |
| Jun 30, 2025 | 59.00 Mn |
| Mar 31, 2025 | 60.00 Mn |
| Dec 31, 2024 | 61.00 Mn |
| Sep 30, 2024 | 56.00 Mn |
| Jun 30, 2024 | 55.00 Mn |
| Mar 31, 2024 | 50.00 Mn |
| Dec 31, 2023 | 57.00 Mn |
| Sep 30, 2023 | 56.00 Mn |
| Jun 30, 2023 | 56.00 Mn |
| Mar 31, 2023 | 55.00 Mn |
| Dec 31, 2022 | 62.00 Mn |
| Sep 30, 2022 | 51.00 Mn |
| Jun 30, 2022 | 57.00 Mn |
| Mar 31, 2022 | 57.00 Mn |
| Dec 31, 2021 | 32.00 Mn |
| Sep 30, 2021 | 32.00 Mn |
APi Amortizatization 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=amortizatization-of-intangibles&ticker=APG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "APG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=APG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();