Vertiv Holdings (VRT) Operating Expenses (2017 - 2026)
Vertiv Holdings (VRT) posted Operating Expenses of $490.5 million for Q2 2026, up 23.4% from $397.5 million a year earlier and up 8.6% from the prior quarter.
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Analysis
Vertiv Holdings (VRT) Operating Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Vertiv Holdings was $1.87 billion, up 29.1% year-over-year; for FY2025, it was $1.67 billion, up 21.2% from FY2024.
- Annual Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- In prior years, Vertiv Holdings' Operating Expenses was $1.38 billion in FY2024 (+2.9%), $1.34 billion in FY2023 (+13.7%), $1.18 billion in FY2022 (+6.2%) and $1.11 billion in FY2021 (+2.6%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q4 2017.
- On a year-over-year basis, Operating Expenses has increased in each of the last nine quarters, with growth averaging 18.0% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2025, with growth of 33.0%; the weakest was Q3 2021, with a decline of 21.5%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $451.8 million (Q1 2026), $482.4 million (Q4 2025) and $445 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | - |
| 10 | Cummins | 71.78 Bn | 68.92 Bn | 2.47 Bn | 1.28 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 490.50 Mn |
| Mar 31, 2026 | 451.80 Mn |
| Dec 31, 2025 | 482.40 Mn |
| Sep 30, 2025 | 445.00 Mn |
| Jun 30, 2025 | 397.50 Mn |
| Mar 31, 2025 | 347.40 Mn |
| Dec 31, 2024 | 362.80 Mn |
| Sep 30, 2024 | 340.90 Mn |
| Jun 30, 2024 | 361.30 Mn |
| Mar 31, 2024 | 314.30 Mn |
| Dec 31, 2023 | 353.90 Mn |
| Sep 30, 2023 | 328.50 Mn |
| Jun 30, 2023 | 336.70 Mn |
| Mar 31, 2023 | 321.80 Mn |
| Dec 31, 2022 | 303.90 Mn |
| Sep 30, 2022 | 293.70 Mn |
| Jun 30, 2022 | 288.40 Mn |
| Mar 31, 2022 | 293.00 Mn |
| Dec 31, 2021 | 331.50 Mn |
| Sep 30, 2021 | 254.00 Mn |
API Access
Vertiv Holdings 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=operating-expenses&ticker=VRT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=VRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();