Vertiv Holdings (VRT) Return on Sales [ROS] (2018 - 2026)
Vertiv Holdings (VRT) reported Return on Sales [ROS] of 19.48% for Q2 2026, up 2.71 percentage points from 16.77% a year earlier and up 2.87 percentage points from the prior quarter.
Vertiv Holdings (VRT) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Vertiv Holdings' Return on Sales [ROS] came in at 18.94%, up 1.77 percentage points year-over-year; for FY2025, it was 17.89%, up 0.82 percentage points from FY2024.
- Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +13.00 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 17.07% in FY2024 (+4.36 pp), 12.71% in FY2023 (+8.78 pp), 3.93% in FY2022 (-1.27 pp) and 5.20% in FY2021 (+0.32 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -3.91% in Q1 2022 and a high of 20.14% in Q4 2025.
- Year over year, Return on Sales [ROS] has now increased in each of the last four quarters, with an average year-over-year change of +2.04 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2023 (a gain of 12.47 percentage points); the low point was Q1 2022 (a drop of 11.17 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 16.61% (Q1 2026), 20.14% (Q4 2025) and 19.31% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 316.15 Bn | 287.84 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 181.56 Bn | 176.14 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 173.99 Bn | 142.08 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 142.35 Bn | 139.53 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 111.11 Bn | 109.23 Bn | 2.25 Bn | 23.86% |
| 6 | Emerson Electric | 90.49 Bn | 83.23 Bn | 2.66 Bn | 26.92% |
| 7 | 3M | 90.21 Bn | 71.66 Bn | 2.78 Bn | 23.66% |
| 8 | Illinois Tool Works | 79.13 Bn | 75.69 Bn | 1.90 Bn | 26.67% |
| 9 | Vertiv Holdings | 75.00 Bn | 65.62 Bn | 1.23 Bn | 19.48% |
| 10 | Cummins | 71.34 Bn | 67.41 Bn | 2.47 Bn | 13.52% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.48% |
| Mar 31, 2026 | 16.61% |
| Dec 31, 2025 | 20.14% |
| Sep 30, 2025 | 19.31% |
| Jun 30, 2025 | 16.77% |
| Mar 31, 2025 | 14.28% |
| Dec 31, 2024 | 19.49% |
| Sep 30, 2024 | 17.92% |
| Jun 30, 2024 | 17.21% |
| Mar 31, 2024 | 12.36% |
| Dec 31, 2023 | 15.29% |
| Sep 30, 2023 | 14.40% |
| Jun 30, 2023 | 11.87% |
| Mar 31, 2023 | 8.57% |
| Dec 31, 2022 | 9.82% |
| Sep 30, 2022 | 5.40% |
| Jun 30, 2022 | 1.87% |
| Mar 31, 2022 | -3.91% |
| Dec 31, 2021 | -0.28% |
| Sep 30, 2021 | 6.66% |
Vertiv Holdings Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=VRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=VRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();