Agnt (AGNT) Operating Expenses (2010 - 2026)
Agnt (AGNT) posted Operating Expenses of $97.16 million for Q2 2026, up 2.2% from $95.03 million a year earlier and up 15.5% from the prior quarter.
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Analysis
Agnt (AGNT) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Agnt was -$1.74 billion; for FY2025, it was $355.04 million, down 1.8% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -27.5% (FY2020 to FY2025).
- In prior years, Agnt's Operating Expenses was $361.39 million in FY2024 (+13.1%), $319.4 million in FY2023 (-93.0%), $4.57 billion in FY2022 (+22.4%) and $3.74 billion in FY2021 (+111.5%).
- Quarterly Operating Expenses has run from a low of -$3.23 billion in Q4 2025 to a high of $1.4 billion in Q2 2022 over five years.
- On a year-over-year basis, Operating Expenses increased in three of the last six quarters, with an average decline of 29.3%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2021, with growth of 100.3%; the weakest was Q2 2025, with a decline of 92.6%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $84.14 million (Q1 2026), -$3.23 billion (Q4 2025) and $1.31 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.92 Bn | 31.69 Bn | 2.09 Bn | - |
| 2 | KE Holdings | 37.35 Bn | 18.06 Bn | 1.03 Bn | -587.69 Mn |
| 3 | Jones Lang Lasalle | 14.31 Bn | 12.53 Bn | - | 6.64 Bn |
| 4 | Compass | 6.79 Bn | 5.25 Bn | - | 4.18 Bn |
| 5 | Colliers International | 4.60 Bn | 3.67 Bn | 635.11 Mn | 485.10 Mn |
| 6 | Cushman & Wakefield | 2.75 Bn | 233.71 Mn | 512.00 Mn | 2.63 Bn |
| 7 | Newmark | 1.99 Bn | 1.36 Bn | - | 848.02 Mn |
| 8 | Marcus & Millichap | 1.10 Bn | 195.57 Mn | - | 200.70 Mn |
| 9 | Agnt | 593.27 Mn | 122.95 Mn | 98.80 Mn | 97.16 Mn |
| 10 | Rmr | 587.71 Mn | 512.17 Mn | - | 162.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 97.16 Mn |
| Mar 31, 2026 | 84.14 Mn |
| Dec 31, 2025 | -3.23 Bn |
| Sep 30, 2025 | 1.31 Bn |
| Jun 30, 2025 | 95.03 Mn |
| Mar 31, 2025 | 86.51 Mn |
| Dec 31, 2024 | -3.12 Bn |
| Sep 30, 2024 | 1.24 Bn |
| Jun 30, 2024 | 1.28 Bn |
| Mar 31, 2024 | 961.23 Mn |
| Dec 31, 2023 | -2.96 Bn |
| Sep 30, 2023 | 1.21 Bn |
| Jun 30, 2023 | 1.22 Bn |
| Mar 31, 2023 | 848.45 Mn |
| Dec 31, 2022 | 924.67 Mn |
| Sep 30, 2022 | 1.24 Bn |
| Jun 30, 2022 | 1.40 Bn |
| Mar 31, 2022 | 1.01 Bn |
| Dec 31, 2021 | 1.08 Bn |
| Sep 30, 2021 | 1.10 Bn |
API Access
Agnt 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=AGNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AGNT", "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=AGNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();