Forrester Research (FORR) Amortization - Intangibles (2010 - 2026)
Forrester Research (FORR) recorded Amortization - Intangibles of $2.08 million in Q2 2026, down 6.1% from $2.22 million a year earlier and unchanged from the prior quarter.
Powered by 
Analysis
Forrester Research (FORR) Amortization - Intangibles (2010 - 2026) Analysis & Trends
On a TTM basis, Forrester Research's Amortization - Intangibles came in at $8.47 million as of Jun 30, 2026, down 6.4% year-over-year; for FY2025, it came in at $8.75 million, down 9.4% from FY2024.
- Annual Amortization - Intangibles has declined for six straight years, with a five-year compound annual growth rate of -15.0% (FY2020 to FY2025).
- Across earlier years, Amortization - Intangibles came in at $9.65 million in FY2024 (-19.6%), $12 million in FY2023 (-9.1%), $13.2 million in FY2022 (-12.8%) and $15.13 million in FY2021 (-23.2%).
- Quarterly Amortization - Intangibles has ranged from $2.08 million in Q1 2026 to $3.7 million in Q3 2021 over the past five years.
- On a year-over-year basis, Amortization - Intangibles has declined for 26 consecutive quarters, with an average decline of 11.5% over the last eight quarters.
- Over the past five years, the year-over-year decline in Amortization - Intangibles ranged from 5.5% (Q4 2025) to 35.9% (Q4 2021).
- Per Business Quant, the preceding three quarters came in at $2.08 million (Q1 2026), $2.09 million (Q4 2025) and $2.22 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - |
| 10 | Forrester Research | 221.96 Mn | -39.92 Mn | 56.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.08 Mn |
| Mar 31, 2026 | 2.08 Mn |
| Dec 31, 2025 | 2.09 Mn |
| Sep 30, 2025 | 2.22 Mn |
| Jun 30, 2025 | 2.22 Mn |
| Mar 31, 2025 | 2.22 Mn |
| Dec 31, 2024 | 2.22 Mn |
| Sep 30, 2024 | 2.40 Mn |
| Jun 30, 2024 | 2.51 Mn |
| Mar 31, 2024 | 2.51 Mn |
| Dec 31, 2023 | 2.83 Mn |
| Sep 30, 2023 | 3.04 Mn |
| Jun 30, 2023 | 3.07 Mn |
| Mar 31, 2023 | 3.07 Mn |
| Dec 31, 2022 | 3.13 Mn |
| Sep 30, 2022 | 3.35 Mn |
| Jun 30, 2022 | 3.35 Mn |
| Mar 31, 2022 | 3.36 Mn |
| Dec 31, 2021 | 3.56 Mn |
| Sep 30, 2021 | 3.70 Mn |
API Access
Forrester Research 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=FORR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "FORR", "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=FORR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();