Vertiv Holdings (VRT) Change in Inventory (2019 - 2026)
Vertiv Holdings (VRT) reported Change in Inventory of $663.8 million for Q2 2026, compared with $8.9 million a year earlier and up 72.8% from the prior quarter.
Vertiv Holdings (VRT) Change in Inventory (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Vertiv Holdings' Change in Inventory came in at $1.08 billion, up 280.3% year-over-year; for FY2025, it came in at $164.7 million, down 55.4% from FY2024.
- Change in Inventory has a five-year compound annual growth rate of 33.7% (FY2020 to FY2025).
- By year, Change in Inventory came in at $369.3 million in FY2024 (+583.9%), $54 million in FY2023 (-74.5%), $211.4 million in FY2022 (+68.2%) and $125.7 million in FY2021 (+226.5%).
- The Q2 2026 figure ranks as the highest quarterly Change in Inventory in data going back to Q1 2019.
- Year over year, Change in Inventory gained in three of the last five quarters, with growth averaging 82.2%.
- The high point for year-over-year Change in Inventory in five years was Q2 2024 (growth of 591.8%); the low point was Q3 2025 (a decline of 96.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $384.2 million (Q1 2026), $21.6 million (Q4 2025) and $5.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 1.05 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | - |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | -295.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | -7.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 663.80 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 60.00 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 81.00 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 32.00 Mn |
| 10 | Cummins | 71.14 Bn | 68.27 Bn | 2.47 Bn | 279.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 663.80 Mn |
| Mar 31, 2026 | 384.20 Mn |
| Dec 31, 2025 | 21.60 Mn |
| Sep 30, 2025 | 5.60 Mn |
| Jun 30, 2025 | 8.90 Mn |
| Mar 31, 2025 | 128.60 Mn |
| Dec 31, 2024 | 4.50 Mn |
| Sep 30, 2024 | 140.70 Mn |
| Jun 30, 2024 | 117.60 Mn |
| Mar 31, 2024 | 106.50 Mn |
| Dec 31, 2023 | -47.50 Mn |
| Sep 30, 2023 | 5.00 Mn |
| Jun 30, 2023 | 17.00 Mn |
| Mar 31, 2023 | 79.50 Mn |
| Dec 31, 2022 | 9.10 Mn |
| Sep 30, 2022 | 15.20 Mn |
| Jun 30, 2022 | 26.70 Mn |
| Mar 31, 2022 | 160.40 Mn |
| Dec 31, 2021 | -22.00 Mn |
| Sep 30, 2021 | 40.40 Mn |
Vertiv Holdings Change in Inventory 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=change-in-inventory&ticker=VRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=VRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();