Soundthinking (SSTI) Change in Accured Expenses (2016 - 2026)
Soundthinking (SSTI) reported Change in Accured Expenses of -$156,000 for Q2 2026, compared with $76,000 a year earlier.
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Analysis
Soundthinking (SSTI) Change in Accured Expenses (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Soundthinking's Change in Accured Expenses came in at $455,000; for FY2025, it came in at -$830,000.
- By year, Change in Accured Expenses came in at $1.74 million in FY2024, -$149,000 in FY2023, $947,000 in FY2022 (-40.4%) and $1.59 million in FY2021 (+176.2%).
- Five-year quarterly Change in Accured Expenses spans a low of -$3.2 million in Q1 2025 and a high of $1.57 million in Q4 2025.
- Year over year, Change in Accured Expenses gained in three of the last five quarters, with growth averaging 25.4%.
- The high point for year-over-year Change in Accured Expenses in five years was Q3 2021 (growth of 229.2%); the low point was Q2 2025 (a decline of 94.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$1.68 million (Q1 2026), $1.57 million (Q4 2025) and $726,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 75.10 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 108.85 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 6.98 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | -2.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 256.58 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 43.09 Mn |
| 10 | Soundthinking | 109.65 Mn | 61.37 Mn | 11.54 Mn | -156,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -156,000.00 |
| Mar 31, 2026 | -1.68 Mn |
| Dec 31, 2025 | 1.57 Mn |
| Sep 30, 2025 | 726,000.00 |
| Jun 30, 2025 | 76,000.00 |
| Mar 31, 2025 | -3.20 Mn |
| Dec 31, 2024 | 733,000.00 |
| Sep 30, 2024 | 987,000.00 |
| Jun 30, 2024 | 1.46 Mn |
| Mar 31, 2024 | -1.44 Mn |
| Dec 31, 2023 | 330,000.00 |
| Sep 30, 2023 | 880,000.00 |
| Jun 30, 2023 | 475,000.00 |
| Mar 31, 2023 | -1.83 Mn |
| Dec 31, 2022 | 941,000.00 |
| Sep 30, 2022 | 307,000.00 |
| Jun 30, 2022 | 919,000.00 |
| Mar 31, 2022 | -1.22 Mn |
| Dec 31, 2021 | 658,000.00 |
| Sep 30, 2021 | 1.43 Mn |
API Access
Soundthinking Change in Accured 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=change-in-accured-expenses&ticker=SSTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "SSTI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=SSTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();