Tetra Tech (TTEK) Change in Accured Expenses (2009 - 2026)
Tetra Tech (TTEK) reported Change in Accured Expenses of $70.88 million for fiscal Q3 2026 (quarter ended Jun 28, 2026), up 5.6% from $67.1 million a year earlier and up 257.8% from the prior quarter.
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Analysis
Tetra Tech (TTEK) Change in Accured Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Tetra Tech's Change in Accured Expenses came in at -$1.1 million; for FY2025 (ended Sep 28, 2025), it was $18.88 million, up 183.6% from FY2024.
- By fiscal year, Change in Accured Expenses came in at $6.66 million in FY2024 (-82.1%), $37.09 million in FY2023 (+35.1%), $27.46 million in FY2022 (+406.1%) and $5.43 million in FY2021.
- The fiscal Q3 2026 figure ranks as the highest quarterly Change in Accured Expenses in data going back to fiscal Q4 2009.
- Year over year, Change in Accured Expenses gained in five of the last six quarters, with growth averaging 53.1%.
- The high point for year-over-year Change in Accured Expenses in five years was fiscal Q2 2025 (growth of 221.1%); the low point was fiscal Q2 2022 (a decline of 64.5%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $19.81 million (Q2 2026), -$126.66 million (Q1 2026) and $34.87 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 967.46 Mn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 60.14 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 183.83 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | - |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | -6.96 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 81.49 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 83.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 53.59 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | 70.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 70.88 Mn |
| Mar 29, 2026 | 19.81 Mn |
| Dec 28, 2025 | -126.66 Mn |
| Sep 28, 2025 | 34.87 Mn |
| Jun 29, 2025 | 67.10 Mn |
| Mar 30, 2025 | 18.55 Mn |
| Dec 29, 2024 | -101.64 Mn |
| Sep 29, 2024 | 14.64 Mn |
| Jun 30, 2024 | 66.31 Mn |
| Mar 31, 2024 | 5.78 Mn |
| Dec 31, 2023 | -80.07 Mn |
| Oct 1, 2023 | 31.83 Mn |
| Jul 2, 2023 | 48.14 Mn |
| Apr 2, 2023 | 10.33 Mn |
| Jan 1, 2023 | -53.20 Mn |
| Oct 2, 2022 | 12.11 Mn |
| Jul 3, 2022 | 41.07 Mn |
| Apr 3, 2022 | 14.60 Mn |
| Jan 2, 2022 | -40.32 Mn |
| Oct 3, 2021 | 12.76 Mn |
API Access
Tetra Tech 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=TTEK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "TTEK", "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=TTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();