Saratoga Investment (SAR) Operating Expenses (2009 - 2026)
Saratoga Investment's Operating Expenses was $23.86 million in fiscal Q2 2027 (quarter ended Aug 31, 2026), up 10.8% from $21.55 million a year earlier and up 2.9% from the prior quarter.
Saratoga Investment (SAR) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Saratoga Investment's Operating Expenses was $92.23 million through Aug 31, 2026, down 14.9% year-over-year; for FY2026 (ended Feb 28, 2026), it was $88.91 million, down 7.2% from FY2025.
- Operating Expenses shows a five-year compound annual growth rate of 20.8% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $95.85 million in FY2025 (+10.4%), $86.85 million in FY2024 (+35.9%), $63.9 million in FY2023 (+25.8%) and $50.8 million in FY2022 (+47.1%).
- The fiscal Q2 2027 figure marks the highest quarterly Operating Expenses since fiscal Q4 2025.
- Compared with a year earlier, Operating Expenses was higher in four of the last eight quarters, with growth averaging 7.7%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2025 (growth of 105.4%); the worst was fiscal Q4 2026 (a decline of 53.6%).
- Per Business Quant data, SAR's Operating Expenses in the three fiscal quarters before Q2 2027 was $23.18 million (Q1 2027), $23.33 million (Q4 2026) and $21.86 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 41.00 Bn | 29.82 Bn | - | 2.33 Bn |
| 2 | Royalty Pharma | 39.88 Bn | 40.21 Bn | - | 279.27 Mn |
| 3 | Orix | 36.75 Bn | 7.39 Bn | 13.83 Bn | 12.58 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 25.40 Bn | -16,108.71 Bn | - | 2.12 Bn |
| 5 | Royal Gold | 23.20 Bn | 22.41 Bn | 402.46 Mn | 161.04 Mn |
| 6 | Affirm Holdings | 22.35 Bn | 15.40 Bn | - | 1.08 Bn |
| 7 | Synchrony Financial | 22.29 Bn | -45.34 Bn | - | 1.37 Bn |
| 8 | Annaly Capital Management | 14.69 Bn | 5.72 Bn | - | 53.21 Mn |
| 9 | Ares Capital | 14.04 Bn | 11.79 Bn | - | 429.00 Mn |
| 10 | Saratoga Investment | 201.34 Mn | 21.13 Mn | - | 23.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 23.86 Mn |
| May 31, 2026 | 23.18 Mn |
| Feb 28, 2026 | 23.33 Mn |
| Nov 30, 2025 | 21.86 Mn |
| Aug 31, 2025 | 21.55 Mn |
| May 31, 2025 | 22.18 Mn |
| Feb 28, 2025 | 50.22 Mn |
| Nov 30, 2024 | 23.44 Mn |
| Aug 31, 2024 | 24.81 Mn |
| May 31, 2024 | 24.34 Mn |
| Feb 29, 2024 | 24.45 Mn |
| Nov 30, 2023 | 22.17 Mn |
| Aug 31, 2023 | 21.55 Mn |
| May 31, 2023 | 18.67 Mn |
| Feb 28, 2023 | 22.67 Mn |
| Nov 30, 2022 | 16.38 Mn |
| Aug 31, 2022 | 14.15 Mn |
| May 31, 2022 | 10.70 Mn |
| Feb 28, 2022 | 13.18 Mn |
| Nov 30, 2021 | 11.31 Mn |
Saratoga Investment 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=SAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SAR", "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=SAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();