Gitlab (GTLB) Return on Capital Employed [ROCE] (2022 - 2026)
Gitlab (GTLB) posted Return on Capital Employed [ROCE] of -8.83% for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 2.19 percentage points from -11.02% a year earlier but down 4.01 percentage points from the prior quarter.
Gitlab (GTLB) Return on Capital Employed [ROCE] (2022 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Gitlab's Return on Capital Employed [ROCE] came in at -7.75%, up 9.75 percentage points from FY2025.
- Annual Return on Capital Employed [ROCE] shows a four-year change of +18.81 percentage points (FY2022 to FY2026).
- In prior fiscal years, Gitlab's Return on Capital Employed [ROCE] was -17.50% in FY2025 (+15.49 pp), -32.99% in FY2024 (-7.34 pp), -25.66% in FY2023 (+0.91 pp) and -26.57% in FY2022.
- Quarterly Return on Capital Employed [ROCE] has run from a low of -31.96% in fiscal Q3 2024 to a high of -4.82% in fiscal Q1 2027 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last nine quarters, with an average year-over-year change of +10.88 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 fiscal Q1 2026, with a gain of 13.95 percentage points; the weakest was fiscal Q1 2024, with a drop of 9.56 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior fiscal quarters was -4.82% (Q1 2027), -7.09% (Q4 2026) and -8.74% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 1.86% |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | -1.66% |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 44.16% |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | -25.24% |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 0.30% |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 3.21% |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 0.40% |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | -0.47% |
| 10 | Gitlab | 8.27 Bn | 3.24 Bn | 240.62 Mn | -8.83% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -8.83% |
| Apr 30, 2026 | -4.82% |
| Jan 31, 2026 | -7.09% |
| Oct 31, 2025 | -8.74% |
| Jul 31, 2025 | -11.02% |
| Apr 30, 2025 | -14.31% |
| Jan 31, 2025 | -18.28% |
| Oct 31, 2024 | -18.62% |
| Jul 31, 2024 | -24.89% |
| Apr 30, 2024 | -28.26% |
| Jan 31, 2024 | -31.40% |
| Oct 31, 2023 | -31.96% |
| Jul 31, 2023 | -25.20% |
| Apr 30, 2023 | -26.50% |
| Jan 31, 2023 | -25.22% |
| Oct 31, 2022 | -24.10% |
| Jul 31, 2022 | -21.07% |
| Apr 30, 2022 | -16.94% |
| Jan 31, 2022 | -15.75% |
Gitlab 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=GTLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "GTLB", "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=GTLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();