Vertiv Holdings (VRT) EBITDA (2019 - 2026)
Vertiv Holdings (VRT) posted EBITDA of $753.7 million for Q2 2026, up 46.2% from $515.7 million a year earlier and up 37.6% from the prior quarter.
Powered by 
Analysis
Vertiv Holdings (VRT) EBITDA (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Vertiv Holdings was $2.56 billion, up 38.7% year-over-year; for FY2025, it was $2.14 billion, up 30.0% from FY2024.
- Annual EBITDA has increased for six consecutive years, with a five-year compound annual growth rate of 38.7% (FY2020 to FY2025).
- In prior years, Vertiv Holdings' EBITDA was $1.64 billion in FY2024 (+43.8%), $1.14 billion in FY2023 (+117.4%), $525.8 million in FY2022 (+8.0%) and $486.9 million in FY2021 (+16.9%).
- The Q2 2026 figure stands as the highest quarterly EBITDA in data going back to Q1 2019.
- On a year-over-year basis, EBITDA has increased in each of the last 16 quarters, with growth averaging 38.3% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q1 2023, with growth of 479.1%; the weakest was Q1 2022, with a decline of 74.2%.
- According to Business Quant data, EBITDA for the three prior quarters was $547.8 million (Q1 2026), $668.2 million (Q4 2025) and $592.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Cummins | 71.78 Bn | 68.92 Bn | 2.47 Bn | 1.56 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 753.70 Mn |
| Mar 31, 2026 | 547.80 Mn |
| Dec 31, 2025 | 668.20 Mn |
| Sep 30, 2025 | 592.10 Mn |
| Jun 30, 2025 | 515.70 Mn |
| Mar 31, 2025 | 362.30 Mn |
| Dec 31, 2024 | 528.20 Mn |
| Sep 30, 2024 | 440.50 Mn |
| Jun 30, 2024 | 404.40 Mn |
| Mar 31, 2024 | 271.30 Mn |
| Dec 31, 2023 | 354.10 Mn |
| Sep 30, 2023 | 319.10 Mn |
| Jun 30, 2023 | 273.10 Mn |
| Mar 31, 2023 | 196.90 Mn |
| Dec 31, 2022 | 232.90 Mn |
| Sep 30, 2022 | 155.70 Mn |
| Jun 30, 2022 | 103.20 Mn |
| Mar 31, 2022 | 34.00 Mn |
| Dec 31, 2021 | 66.00 Mn |
| Sep 30, 2021 | 133.20 Mn |
API Access
Vertiv Holdings EBITDA 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=ebitda&ticker=VRT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=VRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();