Freshworks (FRSH) Total Liabilities (2020 - 2026)
Freshworks' Total Liabilities was $594.53 million in Q2 2026, up 19.8% from $496.18 million a year earlier and up 1.4% from the prior quarter.
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Analysis
Freshworks (FRSH) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Freshworks came in at $570.06 million, up 20.3% from FY2024.
- Total Liabilities has now increased for four consecutive years, though with a five-year compound annual growth rate of -28.6% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $473.96 million in FY2024 (+23.3%), $384.51 million in FY2023 (+17.1%), $328.4 million in FY2022 (+34.2%) and $244.77 million in FY2021 (-92.0%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities since Q4 2020.
- Compared with a year earlier, Total Liabilities has increased for 16 straight quarters, with growth averaging 20.7% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2022 (growth of 38.0%); the worst was Q4 2021 (a decline of 92.0%).
- Per Business Quant data, FRSH's Total Liabilities in the three quarters before Q2 2026 was $586.18 million (Q1 2026), $570.06 million (Q4 2025) and $520.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.79 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 236.06 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 35.29 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 71.24 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 19.15 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 57.16 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 18.48 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 21.68 Bn |
| 10 | Freshworks | 3.29 Bn | 255.06 Mn | 201.28 Mn | 594.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 594.53 Mn |
| Mar 31, 2026 | 586.18 Mn |
| Dec 31, 2025 | 570.06 Mn |
| Sep 30, 2025 | 520.47 Mn |
| Jun 30, 2025 | 496.18 Mn |
| Mar 31, 2025 | 479.35 Mn |
| Dec 31, 2024 | 473.96 Mn |
| Sep 30, 2024 | 440.16 Mn |
| Jun 30, 2024 | 428.49 Mn |
| Mar 31, 2024 | 389.32 Mn |
| Dec 31, 2023 | 384.51 Mn |
| Sep 30, 2023 | 359.60 Mn |
| Jun 30, 2023 | 342.65 Mn |
| Mar 31, 2023 | 340.40 Mn |
| Dec 31, 2022 | 328.40 Mn |
| Sep 30, 2022 | 303.08 Mn |
| Jun 30, 2022 | 298.68 Mn |
| Mar 31, 2022 | 279.46 Mn |
| Dec 31, 2021 | 244.77 Mn |
| Sep 30, 2021 | 219.63 Mn |
API Access
Freshworks Total 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-liabilities&ticker=FRSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "FRSH", "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-liabilities&ticker=FRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();