Vertiv Holdings (VRT) Goodwill & Intangibles (2018 - 2026)
Vertiv Holdings' (VRT) quarterly Goodwill & Intangibles came in at $4.1 billion in Q2 2026, up 44.41% year-over-year from $2.8 billion in Q2 2025, and up 6.64% quarter-over-quarter from $3.8 billion in Q1 2026.
Vertiv Holdings (VRT) Goodwill & Intangibles (2018 - 2026) Analysis & Trends
Vertiv Holdings has disclosed Goodwill & Intangibles across 9 years of filings, most recently posting $4.1 billion for Q2 2026.
- In Q2 2026, Goodwill & Intangibles rose 44.41% year-over-year to $4.1 billion; the TTM figure through Jun 2026 stood at $4.1 billion (up 44.41% YoY), while the FY2025 annual figure was $3.9 billion, up 39.89% from the prior year.
- Goodwill & Intangibles came in at $4.1 billion for Q2 2026 at Vertiv Holdings, up from $3.8 billion in the prior quarter.
- In the past five years, Goodwill & Intangibles ranged from a high of $4.1 billion in Q2 2026 to a low of $2.8 billion in Q1 2025.
- Average Goodwill & Intangibles over 5 years is $3.2 billion, with a median of $3.0 billion recorded in 2023.
- The largest YoY upside for Goodwill & Intangibles was 81.1% in 2022 against a maximum downside of 10.6% in 2022.
- Over 5 years, Goodwill & Intangibles stood at $3.1 billion in 2022, then slipped by 3.15% to $3.0 billion in 2023, then slipped by 6.49% to $2.8 billion in 2024, then soared by 39.89% to $3.9 billion in 2025, then grew by 3.96% to $4.1 billion in 2026.
- Per Business Quant data, the three most recent Goodwill & Intangibles figures were $4.1 billion in Q2 2026, $3.8 billion in Q1 2026, and $3.9 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 371.58 Bn | 364.86 Bn | 7.76 Bn |
| 2 | Amphenol | 204.28 Bn | 198.29 Bn | 3.55 Bn |
| 3 | Deere | 189.58 Bn | 180.70 Bn | 12.32 Bn |
| 4 | Eaton | 171.87 Bn | 171.22 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 121.60 Bn | 121.11 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 97.62 Bn | 94.51 Bn | 1.23 Bn |
| 7 | 3M | 87.32 Bn | 84.04 Bn | 2.68 Bn |
| 8 | Emerson Electric | 86.05 Bn | 83.88 Bn | 2.66 Bn |
| 9 | Illinois Tool Works | 77.02 Bn | 76.18 Bn | 1.90 Bn |
| 10 | Cummins | 72.43 Bn | 68.82 Bn | 2.47 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.08 Bn |
| Mar 31, 2026 | 3.83 Bn |
| Dec 31, 2025 | 3.93 Bn |
| Sep 30, 2025 | 2.95 Bn |
| Jun 30, 2025 | 2.83 Bn |
| Mar 31, 2025 | 2.80 Bn |
| Dec 31, 2024 | 2.81 Bn |
| Sep 30, 2024 | 2.92 Bn |
| Jun 30, 2024 | 2.90 Bn |
| Mar 31, 2024 | 2.94 Bn |
| Dec 31, 2023 | 3.00 Bn |
| Sep 30, 2023 | 2.96 Bn |
| Jun 30, 2023 | 3.05 Bn |
| Mar 31, 2023 | 3.08 Bn |
| Dec 31, 2022 | 3.10 Bn |
| Sep 30, 2022 | 3.05 Bn |
| Jun 30, 2022 | 3.21 Bn |
| Mar 31, 2022 | 3.37 Bn |
| Dec 31, 2021 | 3.47 Bn |
| Sep 30, 2021 | 1.78 Bn |
Vertiv Holdings Goodwill & 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=goodwill-and-intangibles&ticker=VRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "ticker": "VRT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=goodwill-and-intangibles&ticker=VRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();