Gitlab (GTLB) Return on Assets [ROA] (2022 - 2026)
Gitlab (GTLB) reported Return on Assets [ROA] of -3.21% for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 2.38 percentage points from -0.83% a year earlier and down 1.58 percentage points from the prior quarter.
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Analysis
Gitlab (GTLB) Return on Assets [ROA] (2022 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Gitlab posted Return on Assets [ROA] of -3.75%, down 3.08 percentage points from FY2025.
- Return on Assets [ROA] has a four-year change of +17.92 percentage points (FY2022 to FY2026).
- By fiscal year, Return on Assets [ROA] came in at -0.67% in FY2025 (+33.82 pp), -34.49% in FY2024 (-18.41 pp), -16.08% in FY2023 (+5.59 pp) and -21.67% in FY2022.
- Five-year quarterly Return on Assets [ROA] spans a low of -35.90% in fiscal Q3 2024 and a high of 0.71% in fiscal Q1 2026.
- Year over year, Return on Assets [ROA] has now declined in each of the last three quarters, with an average year-over-year change of +14.76 percentage points over the last eight quarters.
- The high point for year-over-year Return on Assets [ROA] in five years was fiscal Q1 2026 (a gain of 33.41 percentage points); the low point was fiscal Q3 2024 (a drop of 19.32 percentage points).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at -1.63% (Q1 2027), -3.56% (Q4 2026) and -3.18% (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn | 0.65% |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn | 0.68% |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn | 20.44% |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn | -12.62% |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn | 2.45% |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn | 3.20% |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn | 2.74% |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - | - |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn | -0.80% |
| 10 | Gitlab | 8.30 Bn | 3.27 Bn | 240.62 Mn | -3.21% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -3.21% |
| Apr 30, 2026 | -1.63% |
| Jan 31, 2026 | -3.56% |
| Oct 31, 2025 | -3.18% |
| Jul 31, 2025 | -0.83% |
| Apr 30, 2025 | 0.71% |
| Jan 31, 2025 | -0.69% |
| Oct 31, 2024 | -4.15% |
| Jul 31, 2024 | -27.33% |
| Apr 30, 2024 | -32.70% |
| Jan 31, 2024 | -33.71% |
| Oct 31, 2023 | -35.90% |
| Jul 31, 2023 | -16.81% |
| Apr 30, 2023 | -17.84% |
| Jan 31, 2023 | -15.88% |
| Oct 31, 2022 | -16.58% |
| Jul 31, 2022 | -15.95% |
| Apr 30, 2022 | -14.23% |
| Jan 31, 2022 | -14.86% |
API Access
Gitlab Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=GTLB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=GTLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();