Gitlab (GTLB) Return on Sales [ROS] (2020 - 2026)
Gitlab's Return on Sales [ROS] came in at -19.89% for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 12.11 percentage points from -7.78% a year earlier and down 13.93 percentage points from the prior quarter.
Gitlab (GTLB) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Gitlab reported Return on Sales [ROS] of -8.55%, up 3.23 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at -7.38%, up 11.42 percentage points from FY2025.
- Return on Sales [ROS] has increased in each of the last six fiscal years, with a five-year change of +133.17 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Sales [ROS] was -18.80% in FY2025 (+13.53 pp), -32.32% in FY2024 (+17.50 pp), -49.82% in FY2023 (+1.22 pp) and -51.04% in FY2022 (+89.51 pp).
- The fiscal Q2 2027 figure represents the lowest quarterly Return on Sales [ROS] since fiscal Q2 2025.
- Year-over-year, Return on Sales [ROS] increased in seven of the last eight quarters, with an average year-over-year change of +8.68 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q4 2022 (a gain of 226.23 percentage points), and the weakest in fiscal Q2 2023 (a drop of 13.31 percentage points).
- Business Quant data shows GTLB's Return on Sales [ROS] at -5.96% (Q1 2027), -1.98% (Q4 2026) and -5.06% (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 0.49% |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 13.29% |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 5.17% |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 3.68% |
| 10 | Gitlab | 8.27 Bn | 3.24 Bn | 240.62 Mn | -19.89% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -19.89% |
| Apr 30, 2026 | -5.96% |
| Jan 31, 2026 | -1.98% |
| Oct 31, 2025 | -5.06% |
| Jul 31, 2025 | -7.78% |
| Apr 30, 2025 | -16.13% |
| Jan 31, 2025 | -9.15% |
| Oct 31, 2024 | -14.66% |
| Jul 31, 2024 | -22.46% |
| Apr 30, 2024 | -31.70% |
| Jan 31, 2024 | -21.30% |
| Oct 31, 2023 | -26.90% |
| Jul 31, 2023 | -38.73% |
| Apr 30, 2023 | -45.90% |
| Jan 31, 2023 | -37.65% |
| Oct 31, 2022 | -50.42% |
| Jul 31, 2022 | -64.63% |
| Apr 30, 2022 | -49.05% |
| Jan 31, 2022 | -52.13% |
| Oct 31, 2021 | -48.71% |
Gitlab 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=GTLB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=GTLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();