Agnt (AGNT) Selling, General & Administrative (2010 - 2026)
Agnt's Selling, General & Administrative was $71.58 million in Q2 2026, down 3.4% from $74.08 million a year earlier but up 11.5% from the prior quarter.
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Analysis
Agnt (AGNT) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Agnt's Selling, General & Administrative was $269.71 million through Jun 30, 2026, up 0.1% year-over-year; for FY2025, it came in at $274.87 million, up 8.9% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 17.5% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $252.37 million in FY2024 (+1.8%), $247.8 million in FY2023 (-10.0%), $275.45 million in FY2022 (+10.3%) and $249.7 million in FY2021 (+103.3%).
- Quarterly Selling, General & Administrative has moved between $19.27 million (Q4 2022) and $91.39 million (Q2 2022) over five years.
- Compared with a year earlier, Selling, General & Administrative was higher in five of the last eight quarters, with growth averaging 3.7%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2023 (growth of 252.3%); the worst was Q4 2022 (a decline of 75.3%).
- Per Business Quant data, AGNT's Selling, General & Administrative in the three quarters before Q2 2026 was $64.21 million (Q1 2026), $71.58 million (Q4 2025) and $62.34 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.56 Bn | 31.32 Bn | 2.09 Bn | - |
| 2 | KE Holdings | 36.95 Bn | 17.65 Bn | 1.03 Bn | -300.18 Mn |
| 3 | Jones Lang Lasalle | 14.12 Bn | 12.33 Bn | - | - |
| 4 | Compass | 6.95 Bn | 5.41 Bn | - | 93.00 Mn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 436.75 Mn |
| 6 | Cushman & Wakefield | 2.80 Bn | 278.27 Mn | 512.00 Mn | 349.30 Mn |
| 7 | Newmark | 2.01 Bn | 1.39 Bn | - | 186.14 Mn |
| 8 | Marcus & Millichap | 1.08 Bn | 178.91 Mn | - | 71.69 Mn |
| 9 | Agnt | 609.98 Mn | 139.66 Mn | 98.80 Mn | 71.58 Mn |
| 10 | Rmr | 568.78 Mn | 493.24 Mn | - | 10.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.58 Mn |
| Mar 31, 2026 | 64.21 Mn |
| Dec 31, 2025 | 71.58 Mn |
| Sep 30, 2025 | 62.34 Mn |
| Jun 30, 2025 | 74.08 Mn |
| Mar 31, 2025 | 66.87 Mn |
| Dec 31, 2024 | 67.24 Mn |
| Sep 30, 2024 | 61.39 Mn |
| Jun 30, 2024 | 61.16 Mn |
| Mar 31, 2024 | 62.58 Mn |
| Dec 31, 2023 | 67.89 Mn |
| Sep 30, 2023 | 60.36 Mn |
| Jun 30, 2023 | 64.92 Mn |
| Mar 31, 2023 | 54.63 Mn |
| Dec 31, 2022 | 19.27 Mn |
| Sep 30, 2022 | 89.46 Mn |
| Jun 30, 2022 | 91.39 Mn |
| Mar 31, 2022 | 75.32 Mn |
| Dec 31, 2021 | 78.06 Mn |
| Sep 30, 2021 | 64.62 Mn |
API Access
Agnt Selling, General & Administrative 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=selling-general-and-administrative&ticker=AGNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=AGNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();