01-01-2026 to 14-05-2026 | Completed + Confirmed jobs only | Excludes: Cancelled, Pencilled-in, JNC | Source: Jan–Mar + April + May 1-14 Schedule
Fleet daily avg = total monthly revenue ÷ calendar work days (reflects both fleet size and productivity). Revenue/tech-day is the per-individual productivity metric.
Each line = one technician's monthly revenue Jan–May 2026 (May = 1-14 only). Dashed lines = departed staff. Fleet Avg Daily shows the fleet-wide average daily revenue per active technician, plotted weekly across Jan–May 2026.
| Month | Total Revenue | Jobs | Work Days | Fleet Daily Rev | Avg Job Value | vs Prior Month |
|---|---|---|---|---|---|---|
| January 2026 | $326,817 | 1,140 | 25 | $13,073 | $287 | — baseline |
| February 2026 | $357,085 | 1,373 | 24 | $14,879 | $260 | ▲ +$30,268 (+9.3%) |
| March 2026 | $337,907 | 1,355 | 27 | $12,515 | $249 | ▼ −$19,178 (−5.4%) |
| April 2026 | $346,379 | 1,208 | 20 | $17,319 | $287 | ▲ +$8,472 (+2.5%) |
| May 2026 (1–14) | $159,246 | 538 | 10 | $15,925 | $296 | ▼ Daily avg −8.1% vs Apr |
| YTD Total / Avg | $1,527,434 | 5,614 | 106 | $14,410 | $272 | — |
Sorted by YTD total. Grey italic = left the business. Purple = joined during the period. — = not scheduled that month.
| Technician | Jan | Feb | Mar | Apr | May (1-14) | YTD Total | Trend |
|---|---|---|---|---|---|---|---|
| Ganesh P | $46,104 | $38,567 | $41,082 | $36,871 | $18,016 | $180,640 | ▼ Declining |
| Daniel K | $30,232 | $32,570 | $37,608 | $34,882 | $18,608 | $153,900 | ▲ Strong growth |
| Levi G | $16,004 | $33,603 | $34,812 | $36,485 | $17,351 | $138,254 | ▲▲ Excellent growth |
| Vlad S | $25,380 | $27,548 | $32,377 | $26,654 | $5,362 | $117,320 | ↔ Variable — May low |
| Chris A | $25,631 | $29,317 | $28,728 | $32,844 | $17,207 | $133,727 | ▲ Growing |
| Jackson D | $17,047 | $26,340 | $37,888 | $30,977 | $18,183 | $130,436 | ▲▲ Strong growth |
| Alex W | $25,196 | $23,250 | $32,573 | $30,205 | $13,417 | $124,641 | ▲ Growing |
| Michael T | $22,756 | $26,120 | $30,743 | $31,369 | $16,863 | $127,851 | ▲ Steady growth |
| Pradip P | $9,081 | $33,958 | $29,398 | $29,306 | $11,015 | $112,758 | ↔ Volatile Jan / stable since |
| Aidan R Left Mar | $26,647 | $27,754 | $5,292 | — | — | $59,693 | ✕ Left |
| Dylan B Left Feb | $29,912 | $14,453 | — | — | — | $44,364 | ✕ Left |
| Alexander H Left Feb | $21,616 | $16,680 | — | — | — | $38,296 | ✕ Left |
| Josh H | $9,448 | $11,252 | $14,566 | $24,380 | $13,787 | $73,433 | ▲▲ Best improvement |
| Greg P | $9,492 | $11,302 | $12,158 | $9,070 | $7,503 | $49,525 | ↔ Partial months |
| Mohammed K Left Feb | $11,460 | $2,675 | — | — | — | $14,135 | ✕ Left |
| Liam K Joined Apr | — | — | — | $17,935 | — | $17,935 | New joiner |
| Matt D | $813 | $1,696 | $682 | $5,402 | $1,934 | $10,527 | ▲ Very low volume |
| Fleet Total | $326,817 | $357,085 | $337,907 | $346,379 | $159,246 | $1,527,434 | — |
Daily average revenue per technician — Q1 average (Jan–Mar) vs April. Core team only (active in both periods). Green = improved, red = declined.
Q1 daily avg = total Q1 revenue ÷ Q1 work days. April daily avg = total April revenue ÷ April work days. Only techs active in both periods shown.
| Technician | Q1 Daily Rev | Apr Daily Rev | Change | Q1 Jobs/Day | Apr Jobs/Day | Q1 Avg Job $ | Apr Avg Job $ | Q1 Suburbs/Day | Apr Suburbs/Day |
|---|---|---|---|---|---|---|---|---|---|
| Josh H | $820 | $1,354 | ▲ +65% | 3.84 | 4.61 | $214 | $294 | 3.5 | 3.9 |
| Levi G | $1,481 | $1,920 | ▲ +30% | 5.81 | 5.74 | $255 | $335 | 5.3 | 5.1 |
| Chris A | $1,328 | $1,729 | ▲ +30% | 5.41 | 5.37 | $245 | $322 | 4.9 | 4.8 |
| Michael T | $1,327 | $1,651 | ▲ +24% | 5.6 | 6.53 | $237 | $253 | 4.9 | 5.6 |
| Alex W | $1,328 | $1,678 | ▲ +26% | 5.21 | 6.28 | $255 | $267 | 4.7 | 5.5 |
| Daniel K | $1,521 | $1,744 | ▲ +15% | 6.29 | 7.3 | $242 | $239 | 5.6 | 6.2 |
| Pradip P | $1,478 | $1,628 | ▲ +10% | 4.1 | 4.11 | $360 | $396 | 3.6 | 3.6 |
| Jackson D | $1,626 | $1,721 | ▲ +6% | 6.24 | 6.06 | $261 | $284 | 5.4 | 5.2 |
| Ganesh P | $1,723 | $1,844 | ▲ +7% | 4.92 | 5.2 | $350 | $355 | 4.6 | 4.8 |
| Greg P | $1,220 | $1,296 | ▲ +6% | 4.7 | 4.43 | $259 | $293 | 4.2 | 4.1 |
| Vlad S | $1,376 | $1,333 | ▼ −3% | 5.58 | 5.65 | $247 | $236 | 5.1 | 5.0 |
| Fleet Avg (shared techs) | $1,388 | $1,618 | ▲ +16.6% | 5.3 | 5.6 | $284 | $302 | 4.9 | 5.0 |
Geographic clustering score 0–10. Jobs/suburb = more jobs per suburb = fewer wasted journeys. Higher is better. Revenue/suburb measures revenue earned per area visited.
| Technician | Efficiency Score | Daily Jobs | Suburbs / Day | Jobs / Suburb | Revenue / Suburb | Daily Rev (Apr) | Opportunity |
|---|---|---|---|---|---|---|---|
| Daniel K | 10 / 10 | 7.3 | 6.2 | 1.18 | $281 | $1,744 | Lift avg job value |
| Josh H | 10 / 10 | 4.61 | 3.9 | 1.18 | $347 | $1,354 | Add 1–2 jobs/day |
| Michael T | 9 / 10 | 6.53 | 5.6 | 1.17 | $295 | $1,651 | — |
| Jackson D | 9 / 10 | 6.06 | 5.2 | 1.17 | $331 | $1,721 | — |
| Alex W | 8 / 10 | 6.28 | 5.5 | 1.14 | $305 | $1,678 | — |
| Pradip P | 8 / 10 | 4.11 | 3.6 | 1.14 | $452 | $1,628 | Fill calendar — capacity exists |
| Levi G | 7 / 10 | 5.74 | 5.1 | 1.13 | $376 | $1,920 | — |
| Chris A | 7 / 10 | 5.37 | 4.8 | 1.12 | $360 | $1,729 | — |
| Vlad S | 7 / 10 | 5.65 | 5.0 | 1.13 | $267 | $1,333 | Review job mix |
| Liam K | 7 / 10 | 6.23 | 5.5 | 1.13 | $251 | $1,380 | Low value + attendance |
| Ganesh P | 4 / 10 | 5.2 | 4.8 | 1.08 | $384 | $1,844 | Cluster suburbs |
| Greg P | 4 / 10 | 4.43 | 4.1 | 1.08 | $316 | $1,296 | Cluster + volume |
| Matt D | 3 / 10 | 4.0 | 3.8 | 1.05 | $284 | $1,080 | Lowest density |
| Fleet Avg | 7.3 / 10 | 5.6 | 4.9 | 1.13 | $326 | $1,618 | — |
Revenue contribution of departed staff and replacement capacity from joiners.
| Technician | Status | Last Month Active | Q1 Revenue | Q1 Daily Avg | Monthly Revenue Lost / Added | Note |
|---|---|---|---|---|---|---|
| Aidan R | Left | March 2026 | $59,693 | $1,388 | −$27,847 / month avg | Departed mid-March ($5,292 final month) |
| Dylan B | Left | February 2026 | $44,364 | $1,431 | −$22,182 / month avg | Halved in Feb before leaving |
| Alexander H | Left | February 2026 | $38,296 | $1,277 | −$19,148 / month avg | Declining revenue before exit |
| Mohammed K | Left | February 2026 | $14,135 | $1,285 | −$7,068 / month avg | Short tenure, low volume |
| Departed total | — | — | $156,488 | $1,358 avg | −$76,245 lost Q1 capacity | All revenue was within Q1 |
| Liam K | Joined | April 2026 — | — | — | +$17,935 first month | 13/20 days worked in April |
| Net capacity gap | — | — | — | — | ~$58,000 / month shortfall | Liam K partially offsets departed revenue |
| Day | Total Revenue | Jobs | Avg Job Value | vs Fleet Day Avg |
|---|---|---|---|---|
| Monday | $36,071 | 124 | $291 | ▼ Below avg (4 Mondays incl. Easter Mon) |
| Tuesday ★ Best value/job | $75,636 | 228 | $332 | ▲ Highest avg job value |
| Wednesday ★ Most jobs | $85,390 | 310 | $275 | ▲ Most jobs scheduled |
| Thursday | $82,416 | 304 | $270 | ▲ Strong |
| Friday | $55,828 | 205 | $272 | ↔ Average |
| Saturday | $11,038 | 37 | $298 | ↔ Small volume, good value |
The most important productivity metric: despite losing 4 technicians between Q1 and April, average revenue per tech-day improved by 16.6%. This means the remaining team is working more efficiently and billing higher. The fleet is doing more with fewer people — a positive sign if headcount is controlled, a risk if it reflects overloading.
Aidan R, Dylan B, Alexander H, and Mohammed K collectively generated $156,488 across Q1 at an avg of $1,358/tech-day. Liam K's April contribution of $17,935 partially offsets this, but there remains a ~$58,000/month capacity gap if the departed workload is not redistributed or backfilled. This is likely why existing techs are billing more — they're absorbing additional jobs.
Josh H's daily revenue almost doubled from Q1 ($820/day, 3.84 jobs/day) to April ($1,354/day, 4.61 jobs/day). His avg job value also jumped from $214 to $294. This appears driven by the Mosman council contracts (jobs up to $2,580 each). If these recur monthly, his trajectory is strong. Confirm whether the council contract is ongoing — if so, this uplift is structural.
Ganesh P remains the highest monthly revenue earner in April but has declined 20% from his January peak of $46,104. His daily avg has slipped from $1,723 (Q1) to $1,844 in April — wait, that's an improvement. The monthly total decline is partly explained by fewer work days in April (20 vs ~25/month in Q1). However, his route efficiency remains the lowest in the fleet (4/10). Addressing clustering could recover $300–$500/day.
Jackson D grew from $17,047 in January to $37,888 in March (a 122% increase), settling at $30,977 in April. Levi G more than doubled from $16,004 in January to $36,485 in April. Both are now in the top-3 earners. These two techs represent the fleet's strongest organic growth — understanding what drove their improvement (new contracts? Better scheduling? Higher job values?) should inform how to replicate it.
Vlad S is the only core technician whose daily revenue declined Q1 → April ($1,376 → $1,333). He has the lowest avg job value of all full-time techs at $236 in April. Working all 20 available days, the issue is job mix not attendance. A systematic review of which job types he's allocated — and replacing lower-value commercial services with higher-value equivalents — could add ~$6,500/month without changing his schedule.
Pradip P generated only $9,081 in January vs $33,958 in February — a 274% jump. This is unusual and may reflect leave, illness, or a contract that activated in February. His revenue has since stabilised ($29–$30k/month). The January figure should be confirmed: if he was on leave, exclude it from his baseline. If he was genuinely available but underperforming, that context matters for benchmarking.
Tuesday has the highest average job value ($332) in April — 24% above Friday ($272) and 14% above Monday ($291). Wednesday has the most jobs (310) but lower avg value ($275). This suggests that higher-value job types (SINSW, commercial, termite) tend to be booked on Tuesdays. Understanding why could help target premium job scheduling earlier in the week for improved GP per job.
SINSW jobs average $1,013/job vs the fleet avg of $282 — 3.6× higher. In April only 4 techs accessed these contracts (Levi G, Jackson D, Pradip P, Chris A). Expanding SINSW coverage to additional qualified techs is the single highest-leverage service mix opportunity. Even 2 additional SINSW jobs per week per new tech = ~$8,000/month at current rates.
February was the highest revenue month in the period at $357,085 from 1,373 jobs — despite having only 24 working days. Three factors likely contributed: Dylan B and Alexander H were still active; multiple techs had strong individual months; and job density was high (57 jobs/day fleet avg). Examining February's scheduling patterns — particularly how jobs were clustered and which contracts were active — could help replicate this performance.
| Opportunity | Action | Est. Monthly Uplift | Effort |
|---|---|---|---|
| Backfill departed staff capacity | Hire 1–2 additional techs at ~$1,400/day avg. Liam K partially covers this — need 1 more full-time equivalent. | +$28,000–$42,000 | High |
| Expand SINSW access to 2 more techs | Identify which techs are SINSW-qualified. Target 2 additional SINSW jobs per week each. | +$8,000–$16,000 | High |
| Pradip P: fill 1 extra job/day | At $396 avg job value and 8/10 clustering, his calendar has room. Scheduler review needed. | +$7,128 | Low |
| Vlad S: improve job mix | Replace lower-value commercial services with higher-value equivalents. His route is already clustered. | +$6,500 | Medium |
| Ganesh P: suburb clustering (4/10 → 7/10) | Group bookings in the same suburb. Currently nearly 1 job per suburb. Adding 1 per area = 1 extra job/day. | +$6,390 | Medium |
| Josh H: fill gaps around council anchor jobs | Council jobs are large but infrequent. Add 1–2 standard commercial jobs around Mosman/Lower North Shore anchor days. | +$4,800 | Low |
| Liam K: full attendance + attendance tracking | Worked 13/20 days in April. Confirm availability. 7 additional days at $1,380 = $9,660. | +$4,000–$9,660 | Medium |
| Shift higher-value jobs to Tuesday | Tuesday avg job value is 24% above Friday. Prioritise SINSW and termite inspections on Tuesdays. | +$3,000–$5,000 | Low |
| Total Addressable Uplift | Realistic partial realisation of the above | +$35,000–$70,000/mo | — |
Generated by Claude Code | pest2kill.com.au | 13-05-2026 | Completed + Confirmed only · Cancelled, Pencilled-in & JNC excluded throughout