Gitlab (GTLB) Operating Margin (2020 - 2026)
Gitlab (GTLB) recorded Operating Margin of -19.89% in 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) Operating Margin (2020 - 2026) Analysis & Trends
On a TTM basis, Gitlab's Operating Margin came in at -8.55% as of Jul 31, 2026, up 3.23 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it was -7.38%, up 11.42 percentage points from FY2025.
- Annual Operating Margin has increased for six straight fiscal years, with a five-year change of +133.17 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Operating Margin came in at -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 is the lowest quarterly Operating Margin since fiscal Q2 2025.
- On a year-over-year basis, Operating Margin rose in seven of the last eight quarters, with an average year-over-year change of +8.68 percentage points.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 226.23 percentage points in fiscal Q4 2022, against a drop of 13.31 percentage points in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -5.96% (Q1 2027), -1.98% (Q4 2026) and -5.06% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 0.49% |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 5.17% |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 13.29% |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 9.66% |
| 10 | Gitlab | 7.68 Bn | 2.65 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 Operating Margin 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=operating-margin&ticker=GTLB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=GTLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();