Gitlab (GTLB) Shares Outstanding (2020 - 2026)
Gitlab (GTLB) recorded Shares Outstanding of 168.7 million in 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 (2020 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Gitlab reported Shares Outstanding of 166.79 million, up 3.9% from FY2025.
- Annual Shares Outstanding has increased for six straight fiscal years, with a five-year compound annual growth rate of 27.1% (FY2021 to FY2026).
- Across earlier fiscal years, Shares Outstanding came in at 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%).
- Quarterly Shares Outstanding has ranged from 67.02 million in fiscal Q3 2022 to 169.95 million in fiscal Q1 2027 over the past five years.
- On a year-over-year basis, Shares Outstanding has increased for 20 consecutive quarters, with growth averaging 3.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding ranged from 1.7% (fiscal Q2 2027) to 178.0% (fiscal Q1 2023).
- Per Business Quant, the preceding three fiscal quarters came in at 169.95 million (Q1 2027), 166.79 million (Q4 2026) and 167.41 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 749.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.02 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 733.10 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 349.26 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 356.25 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 174.30 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 80.57 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 160.22 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 34.38 Mn |
| 10 | Gitlab | 7.85 Bn | 2.82 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 | 161.32 Mn |
| Jul 31, 2024 | 159.68 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 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&ticker=GTLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=GTLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();