Gitlab (GTLB) Receivables - Net (2021 - 2026)
Gitlab's Receivables - Net was $257.34 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 30.1% from $197.78 million a year earlier and up 28.5% from the prior quarter.
Gitlab (GTLB) Receivables - Net (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Receivables - Net at Gitlab came in at $304.3 million, up 15.0% from FY2025.
- Receivables - Net has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 50.3% (FY2021 to FY2026).
- In earlier fiscal years, Receivables - Net was $264.57 million in FY2025 (+58.7%), $166.73 million in FY2024 (+27.8%), $130.48 million in FY2023 (+68.9%) and $77.23 million in FY2022 (+94.8%).
- Quarterly Receivables - Net has moved between $56.98 million (fiscal Q3 2022) and $304.3 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Receivables - Net was higher in seven of the last eight quarters, with growth averaging 28.7%.
- The best year-over-year quarter for Receivables - Net over five years was fiscal Q4 2022 (growth of 94.8%); the worst was fiscal Q1 2027 (a decline of 0.5%).
- Per Business Quant data, GTLB's Receivables - Net in the three fiscal quarters before Q2 2027 was $200.3 million (Q1 2027), $304.3 million (Q4 2026) and $221.14 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn |
| 10 | Gitlab | 7.68 Bn | 2.65 Bn | 240.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 257.34 Mn |
| Apr 30, 2026 | 200.30 Mn |
| Jan 31, 2026 | 304.30 Mn |
| Oct 31, 2025 | 221.14 Mn |
| Jul 31, 2025 | 197.78 Mn |
| Apr 30, 2025 | 201.41 Mn |
| Jan 31, 2025 | 264.57 Mn |
| Oct 31, 2024 | 197.56 Mn |
| Jul 31, 2024 | 165.00 Mn |
| Apr 30, 2024 | 135.20 Mn |
| Jan 31, 2024 | 166.73 Mn |
| Oct 31, 2023 | 135.61 Mn |
| Jul 31, 2023 | 105.82 Mn |
| Apr 30, 2023 | 126.08 Mn |
| Jan 31, 2023 | 130.48 Mn |
| Oct 31, 2022 | 97.58 Mn |
| Jul 31, 2022 | 89.34 Mn |
| Apr 30, 2022 | 68.01 Mn |
| Jan 31, 2022 | 77.23 Mn |
| Oct 31, 2021 | 56.98 Mn |
Gitlab Receivables - Net 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=receivables-net&ticker=GTLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=GTLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();