Hagerty (HGTY) Cash & Equivalents (2020 - 2026)
Hagerty (HGTY) posted Cash & Equivalents of $298.3 million for Q2 2026, up 112.6% from $140.3 million a year earlier and up 40.5% from the prior quarter.
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Analysis
Hagerty (HGTY) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Hagerty's Cash & Equivalents came in at $160.18 million, down 31.2% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 33.3% (FY2020 to FY2025).
- In prior years, Hagerty's Cash & Equivalents was $232.85 million in FY2024 (+114.9%), $108.33 million in FY2023 (+13.8%), $95.17 million in FY2022 (-65.4%) and $275.33 million in FY2021 (+622.5%).
- The Q2 2026 figure stands as the highest quarterly Cash & Equivalents in data going back to Q4 2020.
- On a year-over-year basis, Cash & Equivalents increased in six of the last eight quarters, with growth averaging 43.4%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2021, with growth of 622.5%; the weakest was Q1 2023, with a decline of 73.3%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $212.37 million (Q1 2026), $160.18 million (Q4 2025) and $160.39 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | 40.61 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | 2.75 Bn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | 193.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 1.70 Bn |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | - |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | 19.30 Bn |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 1.39 Bn |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 1.06 Bn |
| 10 | Hagerty | 4.66 Bn | 4.14 Bn | - | 298.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 298.30 Mn |
| Mar 31, 2026 | 212.37 Mn |
| Dec 31, 2025 | 160.18 Mn |
| Sep 30, 2025 | 160.39 Mn |
| Jun 30, 2025 | 140.30 Mn |
| Mar 31, 2025 | 127.70 Mn |
| Dec 31, 2024 | 232.85 Mn |
| Sep 30, 2024 | 147.12 Mn |
| Jun 30, 2024 | 120.94 Mn |
| Mar 31, 2024 | 131.21 Mn |
| Dec 31, 2023 | 108.33 Mn |
| Sep 30, 2023 | 90.71 Mn |
| Jun 30, 2023 | 114.25 Mn |
| Mar 31, 2023 | 63.37 Mn |
| Dec 31, 2022 | 95.17 Mn |
| Sep 30, 2022 | 180.42 Mn |
| Jun 30, 2022 | 180.17 Mn |
| Mar 31, 2022 | 237.59 Mn |
| Dec 31, 2021 | 275.33 Mn |
| Sep 30, 2021 | 47.88 Mn |
API Access
Hagerty Cash & Equivalents 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=cash-and-equivalents&ticker=HGTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=HGTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();