Gitlab (GTLB) Receivables (2021 - 2026)
Gitlab (GTLB) recorded Receivables of $259.34 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 31.1% from $197.78 million a year earlier and up 27.4% from the prior quarter.
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Analysis
Gitlab (GTLB) Receivables (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Gitlab reported Receivables of $308.82 million, up 15.7% from FY2025.
- Annual Receivables has increased for five straight fiscal years, with a five-year compound annual growth rate of 50.8% (FY2021 to FY2026).
- Across earlier fiscal years, Receivables came in at $267 million in FY2025 (+58.3%), $168.64 million in FY2024 (+27.7%), $132.01 million in FY2023 (+70.9%) and $77.23 million in FY2022 (+94.8%).
- Quarterly Receivables has ranged from $56.98 million in fiscal Q3 2022 to $308.8 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Receivables has increased for 16 consecutive quarters, with growth averaging 28.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Receivables ranged from 1.1% (fiscal Q1 2027) to 94.8% (fiscal Q4 2022).
- Per Business Quant, the preceding three fiscal quarters came in at $203.6 million (Q1 2027), $308.8 million (Q4 2026) and $221.14 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 3.63 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 1.46 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 718.46 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 975.55 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.52 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 469.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 1.15 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 2.09 Bn |
| 10 | Gitlab | 7.68 Bn | 2.65 Bn | 240.62 Mn | 259.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 259.34 Mn |
| Apr 30, 2026 | 203.60 Mn |
| Jan 31, 2026 | 308.80 Mn |
| Oct 31, 2025 | 221.14 Mn |
| Jul 31, 2025 | 197.78 Mn |
| Apr 30, 2025 | 201.41 Mn |
| Jan 31, 2025 | 267.00 Mn |
| Oct 31, 2024 | 197.56 Mn |
| Jul 31, 2024 | 165.00 Mn |
| Apr 30, 2024 | 135.20 Mn |
| Jan 31, 2024 | 168.64 Mn |
| Oct 31, 2023 | 136.62 Mn |
| Jul 31, 2023 | 108.29 Mn |
| Apr 30, 2023 | 128.22 Mn |
| Jan 31, 2023 | 132.01 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 |
API Access
Gitlab Receivables 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&ticker=GTLB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=GTLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();