GD Culture (GDC) Return on Capital Employed [ROCE] (2016 - 2026)
GD Culture (GDC) posted Return on Capital Employed [ROCE] of -2.08% for Q2 2026, up 158.01 percentage points from -160.09% a year earlier but down 0.52 percentage points from the prior quarter.
GD Culture (GDC) Return on Capital Employed [ROCE] (2016 - 2026) Analysis & Trends
For FY2025, GD Culture's Return on Capital Employed [ROCE] came in at -2.52%, up 199.82 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of -0.60 percentage points (FY2020 to FY2025).
- In prior years, GD Culture's Return on Capital Employed [ROCE] was -202.35% in FY2024 (-62.95 pp), -139.39% in FY2023 (-137.85 pp), -1.54% in FY2022 (+99.27 pp) and -100.81% in FY2021 (-98.89 pp).
- Quarterly Return on Capital Employed [ROCE] has run from a low of -995.22% in Q1 2025 to a high of 269.40% in Q2 2023 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last five quarters, with an average year-over-year change of +35.73 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 Q1 2026, with a gain of 993.65 percentage points; the weakest was Q1 2025, with a drop of 861.61 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -1.56% (Q1 2026), -1.10% (Q4 2025) and -1.71% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn | 1.86% |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn | -1.66% |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn | 44.16% |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn | -25.24% |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn | 0.30% |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn | 3.21% |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn | 0.40% |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - | - |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn | -1.83% |
| 10 | GD Culture | 1.31 Mn | 1.59 Mn | - | -2.08% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.08% |
| Mar 31, 2026 | -1.56% |
| Dec 31, 2025 | -1.10% |
| Sep 30, 2025 | -1.71% |
| Jun 30, 2025 | -160.09% |
| Mar 31, 2025 | -995.22% |
| Dec 31, 2024 | -613.71% |
| Sep 30, 2024 | -371.58% |
| Jun 30, 2024 | -211.52% |
| Mar 31, 2024 | -133.61% |
| Dec 31, 2023 | -87.81% |
| Sep 30, 2023 | 140.60% |
| Jun 30, 2023 | 269.40% |
| Mar 31, 2023 | -11.47% |
| Dec 31, 2022 | -4.23% |
| Sep 30, 2022 | -100.55% |
| Jun 30, 2022 | -80.87% |
| Mar 31, 2022 | -12.11% |
| Dec 31, 2021 | -60.88% |
| Sep 30, 2021 | -59.73% |
GD Culture 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=GDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "GDC", "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=GDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();