Fathom Holdings (FTHM) Total Non-Current Liabilities (2021 - 2026)
Fathom Holdings (FTHM) recorded Total Non-Current Liabilities of $47.71 million in Q2 2026, up 28.9% from $37.02 million a year earlier and up 22.2% from the prior quarter.
Fathom Holdings (FTHM) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Fathom Holdings reported Total Non-Current Liabilities of $37.27 million, up 33.2% from FY2024.
- Annual Total Non-Current Liabilities has increased for three straight years, with a three-year compound annual growth rate of 27.8% (FY2022 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $27.99 million in FY2024 (+18.4%), $23.64 million in FY2023 (+32.3%) and $17.87 million in FY2022.
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities in data going back to Q2 2021.
- On a year-over-year basis, Total Non-Current Liabilities has increased for 11 consecutive quarters, with growth averaging 27.0% over the last eight quarters.
- The year-over-year growth in Total Non-Current Liabilities has ranged between 5.3% (Q2 2024) and 39.0% (Q3 2024) over the last five years.
- Per Business Quant, the preceding three quarters came in at $39.03 million (Q1 2026), $37.27 million (Q4 2025) and $35.24 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current 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 | 20.11 Bn |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | 9.08 Bn |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | 5.20 Bn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 4.22 Bn |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | 5.27 Bn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | 3.21 Bn |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 156.40 Mn |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | - |
| 10 | Fathom Holdings | 14.87 Mn | -4.21 Mn | - | 47.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.71 Mn |
| Mar 31, 2026 | 39.03 Mn |
| Dec 31, 2025 | 37.27 Mn |
| Sep 30, 2025 | 35.24 Mn |
| Jun 30, 2025 | 37.02 Mn |
| Mar 31, 2025 | 34.88 Mn |
| Dec 31, 2024 | 27.99 Mn |
| Sep 30, 2024 | 31.52 Mn |
| Jun 30, 2024 | 26.74 Mn |
| Mar 31, 2024 | 25.93 Mn |
| Dec 31, 2023 | 23.64 Mn |
| Sep 30, 2023 | 22.68 Mn |
| Jun 30, 2023 | 25.40 Mn |
| Mar 31, 2023 | 19.13 Mn |
| Dec 31, 2022 | 17.87 Mn |
| Sep 30, 2021 | 29.16 Mn |
| Jun 30, 2021 | 28.41 Mn |
Fathom Holdings Total Non-Current 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-non-current-liabilities&ticker=FTHM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "FTHM", "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-non-current-liabilities&ticker=FTHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();