JFrog (FROG) Total Current Liabilities (2019 - 2026)
JFrog (FROG) recorded Total Current Liabilities of $476.64 million in Q2 2026, up 37.5% from $346.72 million a year earlier and up 19.1% from the prior quarter.
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Analysis
JFrog (FROG) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, JFrog reported Total Current Liabilities of $407.52 million, up 28.3% from FY2024.
- Annual Total Current Liabilities has increased for six straight years, with a five-year compound annual growth rate of 27.1% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $317.52 million in FY2024 (+21.1%), $262.18 million in FY2023 (+25.1%), $209.57 million in FY2022 (+19.6%) and $175.26 million in FY2021 (+42.8%).
- The Q2 2026 figure is the highest quarterly Total Current Liabilities in data going back to Q4 2019.
- On a year-over-year basis, Total Current Liabilities has increased for 20 consecutive quarters, with growth averaging 26.7% over the last eight quarters.
- The year-over-year growth in Total Current Liabilities has ranged between 15.7% (Q2 2023) and 48.5% (Q3 2021) over the last five years.
- Per Business Quant, the preceding three quarters came in at $400.17 million (Q1 2026), $407.52 million (Q4 2025) and $367.61 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 9.92 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 4.43 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 4.84 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 3.72 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.87 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.40 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.03 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 2.96 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 13.13 Bn |
| 10 | JFrog | 10.93 Bn | 8.01 Bn | 127.62 Mn | 476.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 476.64 Mn |
| Mar 31, 2026 | 400.17 Mn |
| Dec 31, 2025 | 407.52 Mn |
| Sep 30, 2025 | 367.61 Mn |
| Jun 30, 2025 | 346.72 Mn |
| Mar 31, 2025 | 319.16 Mn |
| Dec 31, 2024 | 317.52 Mn |
| Sep 30, 2024 | 292.22 Mn |
| Jun 30, 2024 | 269.79 Mn |
| Mar 31, 2024 | 260.22 Mn |
| Dec 31, 2023 | 262.18 Mn |
| Sep 30, 2023 | 234.40 Mn |
| Jun 30, 2023 | 224.06 Mn |
| Mar 31, 2023 | 213.66 Mn |
| Dec 31, 2022 | 209.57 Mn |
| Sep 30, 2022 | 192.22 Mn |
| Jun 30, 2022 | 193.73 Mn |
| Mar 31, 2022 | 182.76 Mn |
| Dec 31, 2021 | 175.26 Mn |
| Sep 30, 2021 | 147.17 Mn |
API Access
JFrog Total Current Liabilities 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=total-current-liabilities&ticker=FROG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "FROG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-current-liabilities&ticker=FROG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();