Advanced Flower Capital (AFCG) Operating Expenses (2021 - 2026)
Advanced Flower Capital (AFCG) posted Operating Expenses of $5.18 million for Q2 2026, up 99.2% from $2.6 million a year earlier and up 1.3% from the prior quarter.
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Analysis
Advanced Flower Capital (AFCG) Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Advanced Flower Capital was $20.9 million, up 88.3% year-over-year; for FY2025, it came in at $15.69 million, down 9.2% from FY2024.
- Annual Operating Expenses has declined for three consecutive years, though with a five-year compound annual growth rate of 45.8% (FY2020 to FY2025).
- In prior years, Advanced Flower Capital's Operating Expenses was $17.28 million in FY2024 (-19.8%), $21.56 million in FY2023 (-7.9%), $23.41 million in FY2022 (+62.6%) and $14.4 million in FY2021 (+505.1%).
- Quarterly Operating Expenses has run from a low of $2.48 million in Q3 2024 to a high of $7.8 million in Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last four quarters, with growth averaging 18.4% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2025, with growth of 119.7%; the weakest was Q1 2025, with a decline of 55.0%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $5.11 million (Q1 2026), $7.8 million (Q4 2025) and $2.81 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.90 Bn | 29.58 Bn | - | 2.50 Bn |
| 2 | Orix | 42.96 Bn | 43.46 Bn | - | 4.66 Bn |
| 3 | Royalty Pharma | 33.48 Bn | 33.39 Bn | - | 541.02 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 23.94 Bn | 23.94 Bn | - | 2.07 Bn |
| 5 | Affirm Holdings | 23.37 Bn | 17.06 Bn | - | 1.02 Bn |
| 6 | Synchrony Financial | 23.31 Bn | -44.66 Bn | - | 1.33 Bn |
| 7 | Royal Gold | 20.23 Bn | 19.45 Bn | 390.45 Mn | 173.18 Mn |
| 8 | Annaly Capital Management | 15.24 Bn | 6.34 Bn | - | 58.19 Mn |
| 9 | Ares Capital | 13.90 Bn | 11.34 Bn | - | - |
| 10 | Advanced Flower Capital | 82.14 Mn | 82.14 Mn | - | 5.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.18 Mn |
| Mar 31, 2026 | 5.11 Mn |
| Dec 31, 2025 | 7.80 Mn |
| Sep 30, 2025 | 2.81 Mn |
| Jun 30, 2025 | 2.60 Mn |
| Mar 31, 2025 | 2.48 Mn |
| Dec 31, 2024 | 3.55 Mn |
| Sep 30, 2024 | 2.48 Mn |
| Jun 30, 2024 | 5.75 Mn |
| Mar 31, 2024 | 5.50 Mn |
| Dec 31, 2023 | 5.05 Mn |
| Sep 30, 2023 | 5.15 Mn |
| Jun 30, 2023 | 4.94 Mn |
| Mar 31, 2023 | 6.41 Mn |
| Dec 31, 2022 | 5.92 Mn |
| Sep 30, 2022 | 5.31 Mn |
| Jun 30, 2022 | 5.79 Mn |
| Mar 31, 2022 | 6.38 Mn |
| Dec 31, 2021 | 4.48 Mn |
| Sep 30, 2021 | 3.85 Mn |
API Access
Advanced Flower Capital 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=AFCG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=AFCG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();