Gitlab (GTLB) Revenue (2020 - 2026)
Gitlab's Revenue was $286.25 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 21.3% from $235.96 million a year earlier and up 8.4% from the prior quarter.
Gitlab (GTLB) Revenue (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gitlab's Revenue was $1.06 billion through Jul 31, 2026, up 23.0% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $955.22 million, up 25.8% from FY2025.
- Revenue has now increased for six consecutive fiscal years, with a five-year compound annual growth rate of 44.4% (FY2021 to FY2026).
- In earlier fiscal years, Revenue was $759.25 million in FY2025 (+30.9%), $579.91 million in FY2024 (+36.7%), $424.34 million in FY2023 (+68.0%) and $252.65 million in FY2022 (+66.0%).
- The fiscal Q2 2027 figure marks the highest quarterly Revenue in data going back to fiscal Q3 2021.
- Compared with a year earlier, Revenue has increased for 20 straight quarters, with growth averaging 26.0% over the last eight quarters.
- The year-over-year growth in Revenue has ranged between 21.3% (fiscal Q2 2027) and 75.1% (fiscal Q1 2023) over the last five years.
- Per Business Quant data, GTLB's Revenue in the three fiscal quarters before Q2 2027 was $264.16 million (Q1 2027), $260.4 million (Q4 2026) and $244.35 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 3.41 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.47 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 2.05 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.55 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.12 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 904.39 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 805.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.62 Bn |
| 10 | Gitlab | 7.68 Bn | 2.65 Bn | 240.62 Mn | 286.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 286.25 Mn |
| Apr 30, 2026 | 264.16 Mn |
| Jan 31, 2026 | 260.40 Mn |
| Oct 31, 2025 | 244.35 Mn |
| Jul 31, 2025 | 235.96 Mn |
| Apr 30, 2025 | 214.51 Mn |
| Jan 31, 2025 | 211.43 Mn |
| Oct 31, 2024 | 196.05 Mn |
| Jul 31, 2024 | 182.58 Mn |
| Apr 30, 2024 | 169.19 Mn |
| Jan 31, 2024 | 163.78 Mn |
| Oct 31, 2023 | 149.67 Mn |
| Jul 31, 2023 | 139.58 Mn |
| Apr 30, 2023 | 126.88 Mn |
| Jan 31, 2023 | 122.91 Mn |
| Oct 31, 2022 | 112.98 Mn |
| Jul 31, 2022 | 101.04 Mn |
| Apr 30, 2022 | 87.41 Mn |
| Jan 31, 2022 | 77.80 Mn |
| Oct 31, 2021 | 66.80 Mn |
Gitlab Revenue 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=revenue&ticker=GTLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=GTLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();