Advanced Flower Capital (AFCG) Total Liabilities (2020 - 2026)
Advanced Flower Capital (AFCG) recorded Total Liabilities of $212.45 million in Q2 2026, up 100.7% from $105.86 million a year earlier and up 1.6% from the prior quarter.
Advanced Flower Capital (AFCG) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Advanced Flower Capital reported Total Liabilities of $100.03 million, down 50.2% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 112.4% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $200.68 million in FY2024 (+37.0%), $146.53 million in FY2023 (-18.6%), $180.12 million in FY2022 (-6.1%) and $191.77 million in FY2021.
- The Q2 2026 figure is the highest quarterly Total Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Liabilities rose in four of the last eight quarters, with growth averaging 16.5%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 320.3% in Q3 2022, against a decline of 50.2% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $209.06 million (Q1 2026), $100.03 million (Q4 2025) and $119.38 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 41.00 Bn | 29.82 Bn | - | 35.84 Bn |
| 2 | Royalty Pharma | 39.88 Bn | 40.21 Bn | - | 9.67 Bn |
| 3 | Orix | 36.75 Bn | 7.39 Bn | 13.83 Bn | 66.29 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 25.40 Bn | -16,108.71 Bn | - | 4,198.25 Bn |
| 5 | Royal Gold | 23.20 Bn | 22.41 Bn | 402.46 Mn | 1.59 Bn |
| 6 | Affirm Holdings | 22.35 Bn | 15.40 Bn | - | 10.73 Bn |
| 7 | Synchrony Financial | 22.29 Bn | -45.34 Bn | - | 105.92 Bn |
| 8 | Annaly Capital Management | 14.69 Bn | 5.72 Bn | - | 130.25 Bn |
| 9 | Ares Capital | 14.04 Bn | 11.79 Bn | - | 16.65 Bn |
| 10 | Advanced Flower Capital | 78.19 Mn | -281.77 Mn | - | 203.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 203.54 Mn |
| Jun 30, 2026 | 212.45 Mn |
| Mar 31, 2026 | 209.06 Mn |
| Dec 31, 2025 | 100.03 Mn |
| Sep 30, 2025 | 119.38 Mn |
| Jun 30, 2025 | 105.86 Mn |
| Mar 31, 2025 | 120.85 Mn |
| Dec 31, 2024 | 200.68 Mn |
| Sep 30, 2024 | 160.56 Mn |
| Jun 30, 2024 | 143.71 Mn |
| Mar 31, 2024 | 165.78 Mn |
| Dec 31, 2023 | 146.53 Mn |
| Sep 30, 2023 | 106.33 Mn |
| Jun 30, 2023 | 113.67 Mn |
| Mar 31, 2023 | 109.95 Mn |
| Dec 31, 2022 | 180.12 Mn |
| Sep 30, 2022 | 123.91 Mn |
| Jun 30, 2022 | 121.08 Mn |
| Mar 31, 2022 | 117.56 Mn |
| Dec 31, 2021 | 191.77 Mn |
Advanced Flower Capital 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=AFCG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "AFCG", "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=AFCG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();