Hagerty (HGTY) Total Current Liabilities (2020 - 2025)
Hagerty (HGTY) reported Total Current Liabilities of $1.22 billion for Q3 2025, up 21.5% from $1 billion a year earlier and up 6.1% from the prior quarter.
Powered by 
Analysis
Hagerty (HGTY) Total Current Liabilities (2020 - 2025) Analysis & Trends
At the end of FY2024, Hagerty posted Total Current Liabilities of $915.45 million, up 8.7% from FY2023.
- Total Current Liabilities has increased for four consecutive years, with a four-year compound annual growth rate of 24.2% (FY2020 to FY2024).
- By year, Total Current Liabilities came in at $842.3 million in FY2023 (+26.2%), $667.36 million in FY2022 (+34.6%), $495.82 million in FY2021 (+28.9%) and $384.75 million in FY2020.
- The Q3 2025 figure ranks as the highest quarterly Total Current Liabilities in data going back to Q4 2020.
- Year over year, Total Current Liabilities has now increased in each of the last 12 quarters, with growth averaging 17.5% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Current Liabilities ran from 8.7% in Q4 2024 to 35.3% in Q1 2023.
- Per Business Quant data, the three quarters before Q3 2025 came in at $1.15 billion (Q2 2025), $987.06 million (Q1 2025) and $915.45 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | - |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | - |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 21.36 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | 751.17 Bn |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | - |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 43.17 Bn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | - |
| 10 | Hagerty | 4.64 Bn | 4.12 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 1.22 Bn |
| Jun 30, 2025 | 1.15 Bn |
| Mar 31, 2025 | 987.06 Mn |
| Dec 31, 2024 | 915.45 Mn |
| Sep 30, 2024 | 1.00 Bn |
| Jun 30, 2024 | 970.22 Mn |
| Mar 31, 2024 | 849.19 Mn |
| Dec 31, 2023 | 842.30 Mn |
| Sep 30, 2023 | 890.63 Mn |
| Jun 30, 2023 | 848.60 Mn |
| Mar 31, 2023 | 695.27 Mn |
| Dec 31, 2022 | 667.36 Mn |
| Sep 30, 2022 | 720.54 Mn |
| Jun 30, 2022 | 647.44 Mn |
| Mar 31, 2022 | 513.69 Mn |
| Dec 31, 2021 | 495.82 Mn |
| Sep 30, 2021 | 86,470.00 |
| Jun 30, 2021 | 110,437.00 |
| Mar 31, 2021 | 316,470.00 |
| Dec 31, 2020 | 384.75 Mn |
API Access
Hagerty 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=HGTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "HGTY", "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=HGTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();