Agnt (AGNT) Total Liabilities (2011 - 2026)
Agnt (AGNT) posted Total Liabilities of $258.32 million for Q2 2026, down 1.7% from $262.88 million a year earlier but up 22.3% from the prior quarter.
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Analysis
Agnt (AGNT) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Agnt's Total Liabilities came in at $199.7 million, up 7.5% from FY2024.
- Annual Total Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 14.9% (FY2020 to FY2025).
- In prior years, Agnt's Total Liabilities was $185.85 million in FY2024 (+31.2%), $141.66 million in FY2023 (+6.8%), $132.69 million in FY2022 (-30.3%) and $190.29 million in FY2021 (+91.1%).
- Quarterly Total Liabilities has run from a low of $132.69 million in Q4 2022 to a high of $262.88 million in Q2 2025 over five years.
- On a year-over-year basis, Total Liabilities increased in six of the last eight quarters, with growth averaging 10.2%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2021, with growth of 91.1%; the weakest was Q1 2023, with a decline of 36.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $211.27 million (Q1 2026), $199.7 million (Q4 2025) and $223.48 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | - |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | 21.75 Bn |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | 9.86 Bn |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | 5.35 Bn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 4.29 Bn |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | 5.53 Bn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | 3.46 Bn |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 186.88 Mn |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | 258.32 Mn |
| 10 | Rmr | 580.01 Mn | 504.47 Mn | - | 315.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 258.32 Mn |
| Mar 31, 2026 | 211.27 Mn |
| Dec 31, 2025 | 199.70 Mn |
| Sep 30, 2025 | 223.48 Mn |
| Jun 30, 2025 | 262.88 Mn |
| Mar 31, 2025 | 223.80 Mn |
| Dec 31, 2024 | 185.85 Mn |
| Sep 30, 2024 | 221.53 Mn |
| Jun 30, 2024 | 237.11 Mn |
| Mar 31, 2024 | 204.31 Mn |
| Dec 31, 2023 | 141.66 Mn |
| Sep 30, 2023 | 171.94 Mn |
| Jun 30, 2023 | 224.46 Mn |
| Mar 31, 2023 | 162.25 Mn |
| Dec 31, 2022 | 132.69 Mn |
| Sep 30, 2022 | 183.80 Mn |
| Jun 30, 2022 | 250.58 Mn |
| Mar 31, 2022 | 256.60 Mn |
| Dec 31, 2021 | 190.29 Mn |
| Sep 30, 2021 | 192.07 Mn |
API Access
Agnt Total Liabilities 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=total-liabilities&ticker=AGNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=AGNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();