FirstCash Holdings (FCFS) Operating Expenses (2010 - 2026)
FirstCash Holdings' Operating Expenses was $406.88 million in Q3 2026, up 12.6% from $361.23 million a year earlier and up 0.1% from the prior quarter.
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Analysis
FirstCash Holdings (FCFS) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, FirstCash Holdings' Operating Expenses was $1.6 billion through Sep 30, 2026, up 20.1% year-over-year; for FY2025, it was $1.39 billion, up 8.3% from FY2024.
- Operating Expenses has now increased for four consecutive years, with a five-year compound annual growth rate of 12.7% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $1.29 billion in FY2024 (+6.0%), $1.21 billion in FY2023 (+29.1%), $940.95 million in FY2022 (+25.0%) and $752.65 million in FY2021 (-1.9%).
- The Q3 2026 figure marks the highest quarterly Operating Expenses in data going back to Q2 2010.
- Compared with a year earlier, Operating Expenses has increased for six straight quarters, with growth averaging 11.8% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2023 (growth of 52.8%); the worst was Q4 2024 (a decline of 0.6%).
- Per Business Quant data, FCFS's Operating Expenses in the three quarters before Q3 2026 was $406.67 million (Q2 2026), $397.25 million (Q1 2026) and $387.09 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 42.59 Bn | 31.41 Bn | - | 2.33 Bn |
| 2 | Orix | 41.61 Bn | 10.83 Bn | 12.74 Bn | 11.79 Bn |
| 3 | Royalty Pharma | 38.85 Bn | 38.76 Bn | - | 541.02 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 29.69 Bn | 29.69 Bn | - | 2.12 Bn |
| 5 | Affirm Holdings | 25.49 Bn | 19.18 Bn | - | 1.02 Bn |
| 6 | Synchrony Financial | 23.34 Bn | -44.29 Bn | - | 1.37 Bn |
| 7 | Royal Gold | 20.84 Bn | 20.06 Bn | 390.45 Mn | 173.18 Mn |
| 8 | Federal Home Loan Mortgage | 15.10 Bn | -3.58 Bn | - | 1.99 Bn |
| 9 | Annaly Capital Management | 14.86 Bn | 5.89 Bn | - | 53.21 Mn |
| 10 | FirstCash Holdings | 8.29 Bn | 7.66 Bn | 545.54 Mn | 406.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 406.88 Mn |
| Jun 30, 2026 | 406.67 Mn |
| Mar 31, 2026 | 397.25 Mn |
| Dec 31, 2025 | 387.09 Mn |
| Sep 30, 2025 | 361.23 Mn |
| Jun 30, 2025 | 331.74 Mn |
| Mar 31, 2025 | 312.99 Mn |
| Dec 31, 2024 | 324.16 Mn |
| Sep 30, 2024 | 319.43 Mn |
| Jun 30, 2024 | 329.22 Mn |
| Mar 31, 2024 | 313.96 Mn |
| Dec 31, 2023 | 326.16 Mn |
| Sep 30, 2023 | 311.02 Mn |
| Jun 30, 2023 | 292.36 Mn |
| Mar 31, 2023 | 284.84 Mn |
| Dec 31, 2022 | 247.53 Mn |
| Sep 30, 2022 | 247.90 Mn |
| Jun 30, 2022 | 191.35 Mn |
| Mar 31, 2022 | 254.18 Mn |
| Dec 31, 2021 | 191.12 Mn |
API Access
FirstCash Holdings 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=FCFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FCFS", "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=FCFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();