Vertiv Holdings (VRT) Other Operating Expenses (2019 - 2026)
Vertiv Holdings (VRT) reported Other Operating Expenses of $4.4 million for Q1 2026.
Analysis
Vertiv Holdings (VRT) Other Operating Expenses (2019 - 2026) Analysis & Trends
For FY2021, Vertiv Holdings posted Other Operating Expenses of -$8.7 million.
- By year, Other Operating Expenses came in at -$21.7 million in FY2020.
- The Q1 2026 figure ranks as the lowest quarterly Other Operating Expenses since Q3 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 268.42 Bn | 239.73 Bn | 7.35 Bn |
| 2 | Amphenol | 200.18 Bn | 194.88 Bn | 4.02 Bn |
| 3 | Deere | 182.33 Bn | 150.42 Bn | 4.66 Bn |
| 4 | Eaton | 139.45 Bn | 136.39 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 120.96 Bn | 118.84 Bn | 2.26 Bn |
| 6 | 3M | 97.01 Bn | 78.45 Bn | 2.78 Bn |
| 7 | Emerson Electric | 93.92 Bn | 86.65 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 80.83 Bn | 77.51 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 75.75 Bn | 64.60 Bn | 1.64 Bn |
| 10 | TE Connectivity | 63.95 Bn | 59.09 Bn | 1.84 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -30.10 Mn |
| Jun 30, 2026 | -28.90 Mn |
| Mar 31, 2026 | -31.80 Mn |
| Dec 31, 2025 | 6.40 Mn |
| Sep 30, 2025 | 100,000.00 |
| Jun 30, 2025 | -7.50 Mn |
| Mar 31, 2025 | 200,000.00 |
| Dec 31, 2024 | -2.50 Mn |
| Sep 30, 2024 | 6.70 Mn |
| Jun 30, 2024 | 2.10 Mn |
| Mar 31, 2024 | -300,000.00 |
| Dec 31, 2023 | 3.60 Mn |
| Jun 30, 2023 | 1.40 Mn |
| Mar 31, 2023 | 4.90 Mn |
| Dec 31, 2022 | 4.60 Mn |
| Sep 30, 2022 | -1.20 Mn |
| Jun 30, 2022 | 1.80 Mn |
| Mar 31, 2022 | 600,000.00 |
| Dec 31, 2021 | 4.00 Mn |
| Sep 30, 2021 | -700,000.00 |
API Access
Vertiv Holdings Other Operating 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=other-operating-expenses&ticker=VRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=VRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();