Vertiv Holdings (VRT) Accumulated Expenses (2019 - 2026)
Vertiv Holdings' (VRT) quarterly Accumulated Expenses came in at $1.1 billion in Q2 2026, up 83.47% year-over-year from $578.5 million in Q2 2025, and up 23.97% quarter-over-quarter from $856.2 million in Q1 2026.
Vertiv Holdings (VRT) Accumulated Expenses (2019 - 2026) Analysis & Trends
Vertiv Holdings has disclosed Accumulated Expenses across 8 years of filings, most recently posting $1.1 billion for Q2 2026.
- In Q2 2026, Accumulated Expenses rose 83.47% year-over-year to $1.1 billion; the TTM figure through Jun 2026 stood at $1.1 billion (up 83.47% YoY), while the FY2025 annual figure was $771.6 million, up 25.95% from the prior year.
- Accumulated Expenses came in at $1.1 billion for Q2 2026 at Vertiv Holdings, up from $856.2 million in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $1.1 billion in Q2 2026 to a low of $496.4 million in Q1 2023.
- Average Accumulated Expenses over 5 years is $687.1 million, with a median of $612.2 million recorded in 2023.
- Year-over-year, Accumulated Expenses slumped 48.95% in 2023 and jumped 83.47% in 2026.
- Over 5 years, Accumulated Expenses stood at $513.7 million in 2022, then increased by 19.1% to $611.8 million in 2023, then climbed by 0.13% to $612.6 million in 2024, then gained by 25.95% to $771.6 million in 2025, then soared by 37.56% to $1.1 billion in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $1.1 billion in Q2 2026, $856.2 million in Q1 2026, and $771.6 million 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 | 1.06 Bn |
| Mar 31, 2026 | 856.20 Mn |
| Dec 31, 2025 | 771.60 Mn |
| Sep 30, 2025 | 681.40 Mn |
| Jun 30, 2025 | 578.50 Mn |
| Mar 31, 2025 | 534.20 Mn |
| Dec 31, 2024 | 612.60 Mn |
| Sep 30, 2024 | 623.70 Mn |
| Jun 30, 2024 | 600.60 Mn |
| Mar 31, 2024 | 541.80 Mn |
| Dec 31, 2023 | 611.80 Mn |
| Sep 30, 2023 | 555.40 Mn |
| Jun 30, 2023 | 538.40 Mn |
| Mar 31, 2023 | 496.40 Mn |
| Dec 31, 2022 | 513.70 Mn |
| Sep 30, 2022 | 900.30 Mn |
| Jun 30, 2022 | 916.70 Mn |
| Mar 31, 2022 | 972.30 Mn |
| Dec 31, 2021 | 953.40 Mn |
| Sep 30, 2021 | 825.60 Mn |
Vertiv Holdings Accumulated Expenses 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=accumulated-expenses&ticker=VRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=VRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();