Gitlab (GTLB) Cost of Revenue (2020 - 2026)
Gitlab (GTLB) posted Cost of Revenue of $45.64 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 60.1% from $28.51 million a year earlier and up 21.7% from the prior quarter.
Gitlab (GTLB) Cost of Revenue (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Cost of Revenue at Gitlab was $150.33 million, up 52.6% year-over-year; for FY2026 (ended Jan 31, 2026), it was $120.74 million, up 41.8% from FY2025.
- Annual Cost of Revenue has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 45.6% (FY2021 to FY2026).
- In prior fiscal years, Gitlab's Cost of Revenue was $85.14 million in FY2025 (+42.6%), $59.71 million in FY2024 (+15.5%), $51.68 million in FY2023 (+72.4%) and $29.99 million in FY2022 (+62.4%).
- The fiscal Q2 2027 figure stands as the highest quarterly Cost of Revenue in data going back to fiscal Q3 2021.
- On a year-over-year basis, Cost of Revenue has increased in each of the last 20 quarters, with growth averaging 45.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Cost of Revenue ran from 3.6% in fiscal Q3 2024 to 102.4% in fiscal Q3 2023.
- According to Business Quant data, Cost of Revenue for the three prior fiscal quarters was $37.49 million (Q1 2027), $34.98 million (Q4 2026) and $32.22 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 1.11 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 374.00 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 404.70 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 510.08 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 240.11 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 164.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 357.94 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 202.01 Mn |
| 10 | Gitlab | 8.27 Bn | 3.24 Bn | 240.62 Mn | 45.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 45.64 Mn |
| Apr 30, 2026 | 37.49 Mn |
| Jan 31, 2026 | 34.98 Mn |
| Oct 31, 2025 | 32.22 Mn |
| Jul 31, 2025 | 28.51 Mn |
| Apr 30, 2025 | 25.04 Mn |
| Jan 31, 2025 | 22.87 Mn |
| Oct 31, 2024 | 22.13 Mn |
| Jul 31, 2024 | 21.37 Mn |
| Apr 30, 2024 | 18.78 Mn |
| Jan 31, 2024 | 15.99 Mn |
| Oct 31, 2023 | 15.08 Mn |
| Jul 31, 2023 | 14.70 Mn |
| Apr 30, 2023 | 13.94 Mn |
| Jan 31, 2023 | 14.24 Mn |
| Oct 31, 2022 | 14.56 Mn |
| Jul 31, 2022 | 13.03 Mn |
| Apr 30, 2022 | 9.85 Mn |
| Jan 31, 2022 | 9.17 Mn |
| Oct 31, 2021 | 7.20 Mn |
Gitlab Cost of 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=cost-of-revenue&ticker=GTLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=GTLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();