Gitlab (GTLB) Shares Outstanding (Diluted) (2020 - 2026)
Gitlab's Shares Outstanding (Diluted) came in at 168.7 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 1.7% from 165.95 million a year earlier but down 0.7% from the prior quarter.
Gitlab (GTLB) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Gitlab's Shares Outstanding (Diluted) was 166.79 million, up 3.9% from FY2025.
- Shares Outstanding (Diluted) has increased in each of the last six fiscal years, with a five-year compound annual growth rate of 27.1% (FY2021 to FY2026).
- Going back by fiscal year, Shares Outstanding (Diluted) was 160.58 million in FY2025 (+4.1%), 154.28 million in FY2024 (+4.0%), 148.41 million in FY2023 (+86.1%) and 79.76 million in FY2022 (+58.4%).
- The five-year range for quarterly Shares Outstanding (Diluted) is 67.02 million (fiscal Q3 2022) to 169.95 million (fiscal Q1 2027).
- Year-over-year, Shares Outstanding (Diluted) has increased for three consecutive quarters, with growth averaging 3.1% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in fiscal Q1 2023 (growth of 178.0%), and the weakest in fiscal Q2 2026 (a decline of 0.2%).
- Business Quant data shows GTLB's Shares Outstanding (Diluted) at 169.95 million (Q1 2027), 166.79 million (Q4 2026) and 167.41 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn | 764.00 Mn |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn | 739.90 Mn |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn | 349.26 Mn |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn | 371.02 Mn |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn | 178.81 Mn |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn | 82.54 Mn |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - | 160.22 Mn |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn | 42.88 Mn |
| 10 | Gitlab | 8.30 Bn | 3.27 Bn | 240.62 Mn | 168.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 168.70 Mn |
| Apr 30, 2026 | 169.95 Mn |
| Jan 31, 2026 | 166.79 Mn |
| Oct 31, 2025 | 167.41 Mn |
| Jul 31, 2025 | 165.95 Mn |
| Apr 30, 2025 | 164.49 Mn |
| Jan 31, 2025 | 160.58 Mn |
| Oct 31, 2024 | 167.44 Mn |
| Jul 31, 2024 | 166.35 Mn |
| Apr 30, 2024 | 158.16 Mn |
| Jan 31, 2024 | 154.28 Mn |
| Oct 31, 2023 | 155.12 Mn |
| Jul 31, 2023 | 153.64 Mn |
| Apr 30, 2023 | 151.69 Mn |
| Jan 31, 2023 | 148.41 Mn |
| Oct 31, 2022 | 148.88 Mn |
| Jul 31, 2022 | 147.80 Mn |
| Apr 30, 2022 | 146.64 Mn |
| Jan 31, 2022 | 79.76 Mn |
| Oct 31, 2021 | 67.02 Mn |
Gitlab Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=GTLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=GTLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();