Hagerty (HGTY) Cash from Operations (2021 - 2026)
Hagerty (HGTY) reported Cash from Operations of $169.9 million for Q2 2026, up 215.3% from $53.88 million a year earlier and up 945.4% from the prior quarter.
Hagerty (HGTY) Cash from Operations (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Hagerty's Cash from Operations came in at $307.43 million, up 101.6% year-over-year; for FY2025, it was $218.99 million, up 23.7% from FY2024.
- Cash from Operations has increased for four consecutive years, with a five-year compound annual growth rate of 21.0% (FY2020 to FY2025).
- By year, Cash from Operations came in at $177.02 million in FY2024 (+32.4%), $133.71 million in FY2023 (+141.7%), $55.33 million in FY2022 (+30.9%) and $42.28 million in FY2021 (-50.0%).
- The Q2 2026 figure ranks as the highest quarterly Cash from Operations in data going back to Q1 2021.
- Year over year, Cash from Operations gained in three of the last six quarters, with growth averaging 26.3%.
- The high point for year-over-year Cash from Operations in five years was Q1 2024 (growth of 396.6%); the low point was Q1 2026 (a decline of 62.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $16.25 million (Q1 2026), $29.1 million (Q4 2025) and $92.17 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 11.22 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 3.73 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 3.61 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 1.52 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 1.92 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 3.00 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 2.23 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 556.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 10.00 Mn |
| 10 | Hagerty | 4.61 Bn | 4.09 Bn | - | 169.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 169.90 Mn |
| Mar 31, 2026 | 16.25 Mn |
| Dec 31, 2025 | 29.10 Mn |
| Sep 30, 2025 | 92.17 Mn |
| Jun 30, 2025 | 53.88 Mn |
| Mar 31, 2025 | 43.83 Mn |
| Dec 31, 2024 | -12.62 Mn |
| Sep 30, 2024 | 67.39 Mn |
| Jun 30, 2024 | 64.02 Mn |
| Mar 31, 2024 | 58.24 Mn |
| Dec 31, 2023 | 1.49 Mn |
| Sep 30, 2023 | 61.66 Mn |
| Jun 30, 2023 | 58.83 Mn |
| Mar 31, 2023 | 11.73 Mn |
| Dec 31, 2022 | -38.24 Mn |
| Sep 30, 2022 | 33.64 Mn |
| Jun 30, 2022 | 50.91 Mn |
| Mar 31, 2022 | 9.01 Mn |
| Dec 31, 2021 | -43.08 Mn |
| Sep 30, 2021 | 17.29 Mn |
Hagerty Cash from Operations 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-from-operations&ticker=HGTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=HGTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();