Frontdoor (FTDR) Operating Expenses (2017 - 2026)
Frontdoor (FTDR) reported Operating Expenses of $178 million for Q2 2026, up 3.5% from $172 million a year earlier and up 9.2% from the prior quarter.
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Analysis
Frontdoor (FTDR) Operating Expenses (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Frontdoor's Operating Expenses came in at $690 million, up 7.8% year-over-year; for FY2025, it was $709 million, up 8.2% from FY2024.
- Operating Expenses has increased for nine consecutive years, with a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- By year, Operating Expenses came in at $655 million in FY2024 (+4.1%), $629 million in FY2023 (+10.7%), $568 million in FY2022 (+5.6%) and $538 million in FY2021 (+8.2%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q3 2017.
- Year over year, Operating Expenses has now increased in each of the last seven quarters, with growth averaging 6.4% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 0.0% (Q4 2022) and 26.7% (Q4 2023) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $163 million (Q1 2026), $174 million (Q4 2025) and $175 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 | Frontdoor | 5.05 Bn | 2.69 Bn | 378.00 Mn | 178.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 178.00 Mn |
| Mar 31, 2026 | 163.00 Mn |
| Dec 31, 2025 | 174.00 Mn |
| Sep 30, 2025 | 175.00 Mn |
| Jun 30, 2025 | 172.00 Mn |
| Mar 31, 2025 | 152.00 Mn |
| Dec 31, 2024 | 159.00 Mn |
| Sep 30, 2024 | 157.00 Mn |
| Jun 30, 2024 | 168.00 Mn |
| Mar 31, 2024 | 135.00 Mn |
| Dec 31, 2023 | 152.00 Mn |
| Sep 30, 2023 | 157.00 Mn |
| Jun 30, 2023 | 162.00 Mn |
| Mar 31, 2023 | 126.00 Mn |
| Dec 31, 2022 | 120.00 Mn |
| Sep 30, 2022 | 142.00 Mn |
| Jun 30, 2022 | 152.00 Mn |
| Mar 31, 2022 | 125.00 Mn |
| Dec 31, 2021 | 120.00 Mn |
| Sep 30, 2021 | 138.00 Mn |
API Access
Frontdoor 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=FTDR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FTDR", "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=FTDR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();