Essent (ESNT) Operating Expenses (2013 - 2026)
Essent (ESNT) recorded Operating Expenses of $132.37 million in Q2 2026, up 50.5% from $87.97 million a year earlier and up 2.3% from the prior quarter.
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Analysis
Essent (ESNT) Operating Expenses (2013 - 2026) Analysis & Trends
On a TTM basis, Essent's Operating Expenses came in at $502.26 million as of Jun 30, 2026, up 17.5% year-over-year; for FY2025, it came in at $439.07 million, up 13.3% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $387.41 million in FY2024 (+35.1%), $286.76 million in FY2023, $12.64 million in FY2022 (-93.9%) and $206.2 million in FY2021 (-55.7%).
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q2 2020.
- On a year-over-year basis, Operating Expenses has increased for ten consecutive quarters, with growth averaging 22.6% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 54.0% in Q1 2024, against a decline of 61.0% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $129.35 million (Q1 2026), $127.88 million (Q4 2025) and $112.67 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 86.07 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 12.19 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 19.40 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 5.51 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 9.39 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | -902.21 Mn |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 3.59 Bn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 14.45 Bn |
| 10 | Essent | 5.70 Bn | 5.70 Bn | - | 132.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 132.37 Mn |
| Mar 31, 2026 | 129.35 Mn |
| Dec 31, 2025 | 127.88 Mn |
| Sep 30, 2025 | 112.67 Mn |
| Jun 30, 2025 | 87.97 Mn |
| Mar 31, 2025 | 110.56 Mn |
| Dec 31, 2024 | 120.08 Mn |
| Sep 30, 2024 | 109.00 Mn |
| Jun 30, 2024 | 73.72 Mn |
| Mar 31, 2024 | 84.62 Mn |
| Dec 31, 2023 | 94.32 Mn |
| Sep 30, 2023 | 86.67 Mn |
| Jun 30, 2023 | 50.83 Mn |
| Mar 31, 2023 | 54.95 Mn |
| Jun 30, 2022 | -31.41 Mn |
| Mar 31, 2022 | -63.84 Mn |
| Dec 31, 2021 | 39.89 Mn |
| Sep 30, 2021 | 36.85 Mn |
| Jun 30, 2021 | 52.84 Mn |
| Mar 31, 2021 | 76.61 Mn |
API Access
Essent Operating Expenses 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=operating-expenses&ticker=ESNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ESNT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=ESNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();