Gpgi (GPGI) Return on Capital Employed [ROCE] (2021 - 2026)
Gpgi (GPGI) posted Return on Capital Employed [ROCE] of -2.40% for Q2 2026, down 23.26 percentage points from 20.85% a year earlier but up 1.48 percentage points from the prior quarter.
Gpgi (GPGI) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Gpgi's Return on Capital Employed [ROCE] came in at -2.88%, down 44.09 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has declined for four consecutive years, with a four-year change of -180.51 percentage points (FY2021 to FY2025).
- In prior years, Gpgi's Return on Capital Employed [ROCE] was 41.21% in FY2024 (-43.24 pp), 84.45% in FY2023 (-30.69 pp), 115.14% in FY2022 (-62.49 pp) and 177.63% in FY2021.
- Quarterly Return on Capital Employed [ROCE] has run from a low of -3.88% in Q1 2026 to a high of 105.71% in Q3 2022 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined in each of the last 13 quarters, with an average year-over-year change of -39.20 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q3 2022, with a gain of 74.92 percentage points; the weakest was Q2 2025, with a drop of 53.48 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -3.88% (Q1 2026), -2.79% (Q4 2025) and 2.74% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 317.70 Bn | 289.40 Bn | 7.76 Bn | 22.08% |
| 2 | Amphenol | 181.80 Bn | 176.38 Bn | 3.55 Bn | 23.04% |
| 3 | Deere | 172.80 Bn | 140.90 Bn | 4.66 Bn | - |
| 4 | Eaton | 143.71 Bn | 140.90 Bn | 2.86 Bn | 12.16% |
| 5 | Parker-Hannifin | 111.29 Bn | 109.42 Bn | 2.25 Bn | 18.77% |
| 6 | Emerson Electric | 90.01 Bn | 82.75 Bn | 2.66 Bn | 14.90% |
| 7 | 3M | 89.55 Bn | 71.00 Bn | 2.78 Bn | 18.67% |
| 8 | Illinois Tool Works | 78.82 Bn | 75.38 Bn | 1.90 Bn | 41.86% |
| 9 | Vertiv Holdings | 74.66 Bn | 65.28 Bn | 1.23 Bn | 29.36% |
| 10 | Gpgi | 3.32 Bn | 3.07 Bn | - | -2.40% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.40% |
| Mar 31, 2026 | -3.88% |
| Dec 31, 2025 | -2.79% |
| Sep 30, 2025 | 2.74% |
| Jun 30, 2025 | 20.85% |
| Mar 31, 2025 | 24.55% |
| Dec 31, 2024 | 28.44% |
| Sep 30, 2024 | 47.17% |
| Jun 30, 2024 | 74.33% |
| Mar 31, 2024 | 73.24% |
| Dec 31, 2023 | 75.82% |
| Sep 30, 2023 | 83.89% |
| Jun 30, 2023 | 83.17% |
| Mar 31, 2023 | 99.18% |
| Dec 31, 2022 | 96.55% |
| Sep 30, 2022 | 105.71% |
| Jun 30, 2022 | 88.15% |
| Mar 31, 2022 | 85.98% |
| Dec 31, 2021 | 65.97% |
| Sep 30, 2021 | 30.79% |
Gpgi Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=GPGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "GPGI", "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-capital-employed-%5Broce%5D&ticker=GPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();