Research Solutions (RSSS) Depreciation & Amortization (CF) (2010 - 2026)
Research Solutions (RSSS) posted Depreciation & Amortization (CF) of $310,080 for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 1.6% from $315,021 a year earlier and down 0.7% from the prior quarter.
Research Solutions (RSSS) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Research Solutions' Depreciation & Amortization (CF) came in at $1.25 million, up 0.8% from FY2025.
- Annual Depreciation & Amortization (CF) shows a five-year compound annual growth rate of 155.5% (FY2021 to FY2026).
- In prior fiscal years, Research Solutions' Depreciation & Amortization (CF) was $1.25 million in FY2025 (+48.9%), $836,271 in FY2024, $52,649 in FY2023 (+198.3%) and $17,651 in FY2022 (+53.2%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Depreciation & Amortization (CF) since fiscal Q2 2025.
- On a year-over-year basis, Depreciation & Amortization (CF) increased in seven of the last eight quarters, with growth averaging 65.7%.
- The strongest year-over-year quarter for Depreciation & Amortization (CF) in the past five years was fiscal Q1 2024, with growth of 925.8%; the weakest was fiscal Q1 2022, with a decline of 22.2%.
- According to Business Quant data, Depreciation & Amortization (CF) for the three prior fiscal quarters was $312,402 (Q3 2026), $316,425 (Q2 2026) and $316,066 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 10.87 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 8.41 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 12.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 24.19 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 4.25 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 51.10 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 1.63 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 85.00 Mn |
| 10 | Research Solutions | 72.39 Mn | 23.49 Mn | 6.40 Mn | 310,080.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 310,080.00 |
| Mar 31, 2026 | 312,402.00 |
| Dec 31, 2025 | 316,425.00 |
| Sep 30, 2025 | 316,066.00 |
| Jun 30, 2025 | 315,021.00 |
| Mar 31, 2025 | 312,013.00 |
| Dec 31, 2024 | 306,233.00 |
| Sep 30, 2024 | 312,095.00 |
| Jun 30, 2024 | 311,004.00 |
| Mar 31, 2024 | 309,898.00 |
| Dec 31, 2023 | 155,749.00 |
| Sep 30, 2023 | 59,620.00 |
| Jun 30, 2023 | 22,163.00 |
| Mar 31, 2023 | 18,332.00 |
| Dec 31, 2022 | 6,342.00 |
| Sep 30, 2022 | 5,812.00 |
| Jun 30, 2022 | 5,507.00 |
| Mar 31, 2022 | 4,988.00 |
| Dec 31, 2021 | 4,260.00 |
| Sep 30, 2021 | 2,896.00 |
Research Solutions Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=RSSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "RSSS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-amortization-cf&ticker=RSSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();